{"jobs":[{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8916771002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6572481002,"location":{"name":"Remote - Canada"},"metadata":null,"id":8916771002,"updated_at":"2026-10-27T15:49:11-04:00","requisition_id":"R-103048","title":"Annotateur(trice) de données (durée déterminée)","company_name":"Torc Robotics","first_published":"2026-10-26T10:17:34-04:00","language":"fr","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;À propos de l’entreprise\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;À Torc, nous avons toujours cru que la technologie des véhicules autonomes transformera la façon dont nous voyageons, transportons la marchandise et faisons des affaires.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Leader de la conduite autonome depuis 2007, Torc a passé plus d’une décennie à commercialiser des solutions aux côtés de partenaires chevronnés. Nous faisons maintenant partie de la famille Daimler, ce qui nous permet de nous concentrer uniquement sur le développement de logiciels pour les camions automatisés. Nous transformerons la façon dont le monde transporte la marchandise.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Joignez-vous à notre équipe : catapultez votre carrière au sein de l’entreprise ayant contribué à créer la technologie de conduite autonome (CA). Nous sommes la première entreprise de logiciels de CA ayant eu la vision de faire équipe directement avec un constructeur de camions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;À propos du poste\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Nous sommes à la recherche d’annotateurs(trices) de données minutieux(ses) pour se joindre à notre équipe dans le cadre d’un poste à durée déterminée de six mois. Une prolongation ou une conversion en emploi régulier pourra être envisagée selon les besoins de l’entreprise et le rendement, mais n’est pas garantie. Dans ce rôle, vous contribuerez au processus d’annotation et d’assurance qualité des données de Torc en étiquetant des informations provenant de différents capteurs, notamment des images et des données LiDAR, afin d’aider à entraîner les systèmes d’intelligence artificielle utilisés dans les camions autonomes.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Vos responsabilités\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;À titre d’annotateur(trice) de données, vous travaillerez avec des images 2D et des données de capteurs 3D afin d’aider nos systèmes d’IA à reconnaître et comprendre leur environnement. Vos responsabilités comprendront notamment :\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Étiqueter des objets à l’aide d’outils spécialisés afin de créer :\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;des boîtes englobantes 2D\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;des cuboïdes 3D\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;d’autres formes représentant les véhicules, les éléments routiers, les obstacles et plus encore\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Réviser des données pré-étiquetées afin de s’assurer qu’elles respectent des lignes directrices détaillées\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Accepter, rejeter ou corriger les annotations à l’aide de nos logiciels\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fournir des notes claires lorsque des corrections sont nécessaires\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Apprendre et maîtriser progressivement nos outils internes\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Votre travail contribue directement au développement de technologies de véhicules autonomes plus sécuritaires en veillant à ce que les modèles d’IA soient entraînés à partir de données exactes et de haute qualité.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Principales responsabilités\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Annoter avec précision des objets dans des environnements 2D et 3D\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Suivre les instructions et les lignes directrices de façon constante\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assumer la responsabilité de vos mandats et vous adapter aux mises à jour des procédures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Appliquer les commentaires reçus afin d’améliorer continuellement vos compétences et vos méthodes de travail\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborer avec les membres de l’équipe et communiquer efficacement\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Profil recherché\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Grand souci du détail\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Capacité à demeurer concentré(e) et à travailler efficacement lors de tâches répétitives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Aisance à soutenir plusieurs projets et à réorganiser les priorités au besoin\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Autonomie et motivation, avec la capacité de travailler avec une supervision minimale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellentes habiletés en communication\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Droit légal de travailler au Canada\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;La connaissance de l’anglais est exigée puisque la personne retenue devra collaborer de façon journalière avec des collègues anglophones aux États-Unis et travailler avec la documentation technique rédigée uniquement en anglais.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Détails supplémentaires\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Type d’emploi : Employé(e) à durée déterminée, 6 mois. Une prolongation pourrait être envisagée selon les besoins de l’entreprise et le rendement. Les prolongations ne sont pas garanties.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conversion en emploi régulier : Les personnes qui se démarquent pourraient être considérées pour un poste régulier à temps plein chez Torc, selon le rendement et les besoins de l’entreprise. La conversion n’est pas garantie.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lieu : Télétravail. Ouvert aux candidats(es) résidant en Alberta, en Colombie-Britannique, en Ontario ou au Québec seulement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Horaire : Temps plein, 40 heures par semaine, selon l’heure de l’Est\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Dates de début : Plusieurs dates de début, à compter de la fin novembre 2026\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Équipement : Torc fournira l’équipement dont vous avez besoin et vous l’expédiera.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;À quoi s’attendre en tant qu’employé(e) à durée déterminée chez Torc (Canada)\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Torc se soucie de ses membres d’équipe et s’efforce de soutenir leur équilibre entre vie professionnelle et vie personnelle, ainsi que leur évolution. Notre culture est collaborative, dynamique et axée sur le travail d’équipe. À titre d’employé(e) à durée déterminée, vous bénéficierez de :\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Vacances payées et jours fériés payés conformément aux normes d’emploi de votre province\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Une couverture de santé gouvernementale de votre province (AHCIP en Alberta, MSP en Colombie-Britannique, OHIP en Ontario, RAMQ au Québec)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Une fermeture de l’entreprise du 24 décembre au 1er janvier\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;À Torc, nous nous engageons à cultiver un milieu de travail diversifié et inclusif. Nous célébrons l’unicité de chaque membre de l’équipe de Torc. Nous ne faisons pas de discrimination par rapport à l’origine ethnique, la religion, la couleur de peau, la nationalité, le genre (y compris la grossesse, les enfants ou autre condition médicale), l’orientation sexuelle, l’identité de genre, l’expression de genre, l’âge, le statut de vétéran ou les handicaps.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Même si vous ne répondez pas à 100 % des qualifications énumérées pour ce poste, nous vous invitons à postuler.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Notre rémunération reflète le coût de la main-d’œuvre sur plusieurs marchés géographiques. Le salaire est déterminé en fonction d’un certain nombre de facteurs et peut varier en fonction des connaissances, des compétences et de l’expérience liées au poste. Ce poste à durée déterminée n’est pas admissible à la prime corporative ni au régime d’options d’achat d’actions de Torc.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Fourchette de rémunération au CAD\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;$40,100.00 - $48,100.00 CAD\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Numéro de poste :\u0026lt;/strong\u0026gt; 103048\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4127083002,"name":"Data Loop and Simulation","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4057591002,"name":"Remote - Canada","location":null,"child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8916771002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8646178002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6452970002,"location":{"name":"Fort Worth, Texas"},"metadata":null,"id":8646178002,"updated_at":"2026-10-20T13:47:43-04:00","requisition_id":"R-102815","title":"CDL Driver 1 Class A","company_name":"Torc Robotics","first_published":"2026-07-22T18:10:20-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;/span\u0026gt;\u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Hyperlink\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/a\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A CDL Driver\u0026amp;nbsp;is responsible for\u0026amp;nbsp;the safe operation of autonomous semi-trucks obeying all traffic laws and\u0026amp;nbsp;complying with\u0026amp;nbsp;DOT regulations.\u0026amp;nbsp;Executes thorough DOT pre-trip and post-trip inspections, driving reports and logs, services\u0026amp;nbsp;truck\u0026amp;nbsp;and trailer maintenance such as refueling, tire pressure, lights, etc., and ensures cargo is secured. Navigates inter and intrastate regulations, road and weather conditions, transportation barriers, other\u0026amp;nbsp;driver’s\u0026amp;nbsp;actions, etc. Provide feedback about real-world testing to the safety and software development teams.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;What You\u0026#39;ll Do\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;: \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Driving and ensuring safe operation of autonomous semi-trucks obeying all traffic laws and\u0026amp;nbsp;complying with\u0026amp;nbsp;DOT regulations.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Complete all inspections and safety checks before and after\u0026amp;nbsp;operation\u0026amp;nbsp;of the truck. Any safety concern must be communicated to\u0026amp;nbsp;operations\u0026amp;nbsp;management\u0026amp;nbsp;and\u0026amp;nbsp;approval to drive before moving the vehicle.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Complete driving reports, procedures, and tests to collect data to improve\u0026amp;nbsp;the technology\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Provide essential feedback on system performance to the software and safety teams\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Effectively navigate Slack, Microsoft Office Suite, and internal software interfaces to support communication, reporting, and daily operational execution\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;6\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Navigating\u0026amp;nbsp;inter\u0026amp;nbsp;and intrastate regulations,\u0026amp;nbsp;maintaining\u0026amp;nbsp;accurate\u0026amp;nbsp;logs and records\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;7\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Research and communicate any weather or road conditions that may\u0026amp;nbsp;impact\u0026amp;nbsp;safe driving. Communicate any changing conditions to site location\u0026amp;nbsp;immediately.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;8\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Notable attention to detail, both with documentation and on the road.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;9\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Work closely with engineers, software developers, technicians, and operators.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;10\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Ensure cargo and contents are properly secured in the trailer to prevent damage and injury.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;11\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Maintain and service truck and trailer as needed such as refueling, tire pressure, etc. Communicate any truck and trailer maintenance needs to the mechanical technician as soon as possible for repairs.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;12\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Always\u0026amp;nbsp;maintain\u0026amp;nbsp;cleanliness\u0026amp;nbsp;of the truck and trailer.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;What\u0026amp;nbsp;you’ll\u0026amp;nbsp;need to Succeed:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt; \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;3+ years of over-the-road driving experience\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Requires moderate skill set and\u0026amp;nbsp;proficiency\u0026amp;nbsp;in discipline; completes important work under moderate supervision with some latitude for independent judgment.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Demonstrates competences and technical\u0026amp;nbsp;proficiencies\u0026amp;nbsp;typically\u0026amp;nbsp;acquired\u0026amp;nbsp;through BS+ 0-3+ years of experience.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Valid Commercial Class A Driver’s License with a safe driving record\u0026amp;nbsp;required\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Demonstrates\u0026amp;nbsp;ability\u0026amp;nbsp;to quickly learn and adapt to proprietary software, internally developed tools, and evolving technology platforms.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Perks of Being a Full-time\u0026amp;nbsp;Torc’r\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Torc cares about our team\u0026amp;nbsp;members\u0026amp;nbsp;and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:  \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A competitive compensation package that includes a bonus\u0026amp;nbsp;component\u0026amp;nbsp;and stock options\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;100% paid medical, dental, and vision premiums for full-time employees  \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;401K plan with a 6% employer match\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Flexibility in schedule and generous paid vacation (available immediately\u0026amp;nbsp;after\u0026amp;nbsp;start\u0026amp;nbsp;date)\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Company-wide holiday office closures\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;6\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;AD+D and Life Insurance \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;At Torc,\u0026amp;nbsp;we’re\u0026amp;nbsp;committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our\u0026amp;nbsp;Torc’rs\u0026amp;nbsp;and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Even if you\u0026amp;nbsp;don’t\u0026amp;nbsp;meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Job ID:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;102815\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$87,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$105,200 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4117683002,"name":"Fleet Operations","child_ids":[],"parent_id":4117682002}],"offices":[{"id":4086493002,"name":"Fort Worth","location":"Fort Worth, Texas, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8646178002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8881987002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6556875002,"location":{"name":"Ann Arbor, MI"},"metadata":null,"id":8881987002,"updated_at":"2026-10-23T15:23:51-04:00","requisition_id":"R-103023","title":"Commissioning - Systems Engineer I","company_name":"Torc Robotics","first_published":"2026-10-23T15:23:51-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;About the Company\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;/span\u0026gt;\u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Hyperlink\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/a\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Meet the Team\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;div id=\u0026quot;56$146082\u0026quot; class=\u0026quot;WGTF\u0026quot; data-automation-id=\u0026quot;decorationWrapper\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;WATI\u0026quot;\u0026gt;\n\u0026lt;div id=\u0026quot;56$146082-84224db10b4b28e0\u0026quot; class=\u0026quot;WH5S WN4S WC5\u0026quot; data-automation-id=\u0026quot;multilineTextView\u0026quot; data-metadata-id=\u0026quot;56$146082\u0026quot; data-uxi-form-item-child-list-index=\u0026quot;25\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;gwt-HTML\u0026quot;\u0026gt;Evaluate full-system performance, understand the contributions of relevant subsystems, and provide feedback to development teams. Derive product requirements from external stakeholders, regulatory bodies, liability review, and societal expectations.\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;What You’ll Do\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul data-pm-slice=\u0026quot;3 3 []\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Support integration of new and existing self-driving software onto vehicles and test benches.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Assist with troubleshooting of component and system integration issues, guiding the team to an efficient resolution.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Develop and execute test plans, performing closed course and on-road evaluation of updates prior to deployment to extended testing groups.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Evaluate full system performance, understanding the contributions of relevant subsystems, providing feedback to development teams.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Leverage results from automated software testing pipeline to increase the efficiency of the system integration release process.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Maintain a rapid integration and deployment schedule for the self-driving software stack with consistent releases to extended testing teams.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Perform first-tier analysis of extended testing data to provide insight into system performance to the rest of the organization.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Manage system issues from identification through resolution.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Create requirements for new tools or automation to increase overall testing capabilities.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Track and report system performance KPIs on a regular basis.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Provide integration issue resolution support to other testing teams.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Passionate about self-driving technology and its potential impact on the world.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Responsible for triaging road failures, using triage results to understand \u0026amp;amp; document the test gaps.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Support tracking and reporting testing Key Performance Measures (KPIs) on a regular basis.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Exhaustively document best practices.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Derive product requirements from external stakeholders, regulatory bodies, liability review and societal expectations.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Research and interpret data, define functional design requirements and architecture for the TORC Virtual Driver and related systems in the Autonomous Ecosystem.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Ensure security, performance, manageability, quality, and consistency of the product requirement specification across the systems and provide technical guidance to development teams.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Lead design discussions regarding technical details across organizations, spanning hardware, software, functional safety, validation, and operations considerations.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Evaluate and recommend tools, technologies, and processes to ensure the highest quality product platform.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Support development of system requirements specification, including description of the dynamic driving task, functional flow block diagrams, requirement derivation and allocation to components based on the ASIL designation.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Maintain traceability between different levels of requirements as well as mapping to verification tests throughout the product life cycle, including planned iteration and requirement modifications under consideration of system design and requirements engineering best practices.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Collaborate closely with functional safety engineering teams to ensure the design process is aligned with safety requirement definitions with respect to safety goals, industry best practices as defined in ISO 26262 (FuSa), ISO 21448 (SOTIF), and other emerging standards.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Collaborate closely with architecture engineering teams to ensure the design process is aligned with the system/hardware and software architecture.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;What You’ll Need to Succeed\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field, plus demonstrates competencies and technical proficiencies typically acquired through 0-3+ years of experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Requires transportation to locations away from the site. Valid US Driver’s license with a safe driving record required. May travel occasionally to other sites. May have the opportunity for international travel requiring the ability to obtain a passport and appropriate documents.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Requires appropriate Personal Protective Equipment (PPE) in areas identified.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Requires continuous technical education and training with a passion for knowledge in the field of study to maintain the highest level of knowledge, ingenuity, and creative thinking.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Ability to be flexible and willing to work occasional overtime.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Ability to work and collaborate across locations over different time zones.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Occasional exposure to outdoor weather conditions.\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Perks of Being a Full-time Torc’r\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026amp;nbsp;\u0026amp;nbsp; \u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A competitive compensation package that includes a bonus component and stock options\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;401K plan with a 6% employer match\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Flexibility in schedule and generous paid vacation (available immediately after start date)\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;AD+D and Life Insurance\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW12753580 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW12753580 BCX0\u0026quot;\u0026gt;At Torc, \u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW12753580 BCX0\u0026quot;\u0026gt;we’re\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW12753580 BCX0\u0026quot;\u0026gt; committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our \u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SpellingErrorV2Themed SCXW12753580 BCX0\u0026quot;\u0026gt;Torc’rs\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW12753580 BCX0\u0026quot;\u0026gt; and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;LineBreakBlob BlobObject DragDrop SCXW12753580 BCX0\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;SCXW12753580 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;br class=\u0026quot;SCXW12753580 BCX0\u0026quot;\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW12753580 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW12753580 BCX0\u0026quot;\u0026gt;Even if you \u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW12753580 BCX0\u0026quot;\u0026gt;don’t\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW12753580 BCX0\u0026quot;\u0026gt; meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;EOP Selected SCXW12753580 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW133221634 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW133221634 BCX0\u0026quot;\u0026gt;Our compensation reflects the cost of labor across several geographic markets. \u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW133221634 BCX0\u0026quot;\u0026gt;Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.\u0026lt;/span\u0026gt; \u0026lt;span class=\u0026quot;NormalTextRun SCXW133221634 BCX0\u0026quot;\u0026gt;Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan.\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW133221634 BCX0\u0026quot;\u0026gt; Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;EOP Selected SCXW133221634 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$98,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$118,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127079002,"name":"Compute Platform","child_ids":[],"parent_id":4127075002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8881987002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8916327002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6572481002,"location":{"name":"Remote - Canada"},"metadata":null,"id":8916327002,"updated_at":"2026-10-27T15:48:27-04:00","requisition_id":"R-103048","title":"Data Annotator I (Fixed Term)","company_name":"Torc Robotics","first_published":"2026-10-26T10:17:38-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Company\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;br\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026lt;br\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Meet the Team\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for detail-oriented Data Annotators to join our team in a six-month fixed-term role. Extension or conversion to regular employment may be considered based on business need and performance, but it isn’t guaranteed. In this role, you will help support Torc’s data annotation and quality assurance pipeline by labeling information from different sensors, including images and LiDAR, to help train AI systems used in autonomous trucks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Do\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Data Annotator, you’ll work with both 2D images and 3D sensor data to help our AI systems recognize and understand their surroundings. Your responsibilities will include:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Labeling objects using specialized tools to create:\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;2D bounding boxes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3D cuboids\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Other shape types to represent vehicles, road features, obstacles, and more\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reviewing pre-labeled data to ensure it follows detailed guidelines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Accepting, rejecting, or correcting annotations using our software\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Providing clear notes when corrections are needed\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learning and mastering our internal tools over time\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Your work directly supports the development of safer autonomous vehicle technology by ensuring the AI models used on those vehicles are trained with high-quality, accurate data.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Accurately annotate objects in both 2D and 3D environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Follow instructions and guidelines consistently across tasks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Take ownership of your assignments and adapt to procedural updates\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Apply feedback to continuously improve your skills and workflow\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with teammates and communicate effectively\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong attention to detail\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to stay focused and work efficiently during repetitive tasks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable supporting multiple projects and switching priorities when needed\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Self-motivated and able to work independently with minimal supervision\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Clear and effective communication skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Legal right to work in Canada\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Knowledge of English is required since the selected candidate will need to collaborate daily with English-speaking colleagues in the United States and work with technical documentation written exclusively in English.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Additional Details:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Employment type: Fixed-term, 6 months. Extension may be considered based on business need and performance. Extensions are not guaranteed.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conversion to regular employment: Strong performers may be considered for a regular full-time Torc position, based on performance and business need. Conversion is not guaranteed.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Location: Remote. Open to candidates living in Alberta, British Columbia, Ontario, or Quebec only.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hours: Full-time, 40 hours per week, working Eastern Time hours\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Start dates: Multiple start dates, beginning in late November 2026\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Equipment: Torc will provide the equipment you need and ship it to you.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What to Expect as a Fixed-Term Torc’r (Canada)\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Torc cares about our team members and we strive to support their work/life balance and growth. Our culture is collaborative, energetic, and team focused. As a fixed-term employee, you’ll have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Paid vacation and paid statutory holidays in line with your province’s employment standards.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Government health coverage through your province (AHCIP in Alberta, MSP in British Columbia, OHIP in Ontario, RAMQ in Quebec)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Company-wide holiday closure from December 24 through January 1\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026lt;br\u0026gt;Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. This fixed-term role is not eligible for Torc’s corporate bonus or stock option plan.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Canada Pay Range\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;$40,100.00 - $48,100.00 CAD\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job ID:\u0026lt;/strong\u0026gt; 103048\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4127083002,"name":"Data Loop and Simulation","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4057591002,"name":"Remote - Canada","location":null,"child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8916327002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8556815002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6417873002,"location":{"name":"Remote, U.S, Ann Arbor, MI"},"metadata":null,"id":8556815002,"updated_at":"2026-10-28T10:29:57-04:00","requisition_id":"R-102703","title":"Director of Engineering, TorcOS","company_name":"Torc Robotics","first_published":"2026-06-03T11:17:41-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;**We are open to Remote Candidates in the Eastern or Central Time Zone**\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;About the Company\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;/span\u0026gt;\u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Hyperlink\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/a\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Meet The Team:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Within the\u0026amp;nbsp;TorcOS\u0026amp;nbsp;organization, the team\u0026amp;nbsp;is responsible for\u0026amp;nbsp;the foundational software stack enabling Torc’s autonomous driving platform.\u0026amp;nbsp;TorcOS\u0026amp;nbsp;provides the\u0026amp;nbsp;BaseOS, middleware, device drivers, data recording infrastructure, and AUTOSAR base software that powers the embedded\u0026amp;nbsp;compute\u0026amp;nbsp;platforms used throughout Torc Drive.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;The organization enables robust system bring-up, low-latency communication between distributed software components, reliable sensor data acquisition, and foundational software services required by\u0026amp;nbsp;the Torc\u0026amp;nbsp;Drive and platform engineering teams.\u0026amp;nbsp;TorcOS\u0026amp;nbsp;works closely with autonomy, platform integration, hardware, safety, and OEM-facing organizations to deliver scalable, reliable, and safety-critical embedded software solutions.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;The\u0026amp;nbsp;TorcOS\u0026amp;nbsp;organization achieves its goals through close collaboration across engineering domains while focusing on the design, development, integration, and release of foundational embedded software platforms supporting Torc’s Self-Driving Truck solution.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;What\u0026amp;nbsp;You’ll\u0026amp;nbsp;Do:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;We are looking for a seasoned engineering leader that will bring strong technical leadership, organizational maturity, and scalable engineering processes to the\u0026amp;nbsp;TorcOS\u0026amp;nbsp;organization. As a Director of Engineering, you will work closely with managers, principal engineers, and cross-functional stakeholders to deliver the\u0026amp;nbsp;foundational\u0026amp;nbsp;embedded software platform supporting the development of Torc’s autonomous driving system.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;The Director of Engineering –\u0026amp;nbsp;TorcOS\u0026amp;nbsp;owns and drives the execution strategy, organizational effectiveness, and engineering delivery across foundational software domains including embedded Linux platforms, middleware systems, device drivers, data recording infrastructure, and AUTOSAR base software.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;The organization\u0026amp;nbsp;is responsible for\u0026amp;nbsp;enabling robust compute bring-up, reliable communication backbones, low-latency sensor data processing, flashing and bootloader solutions, and foundational software integration across high-performance\u0026amp;nbsp;compute\u0026amp;nbsp;platforms and microcontroller-based systems.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;The\u0026amp;nbsp;Director\u0026amp;nbsp;Engineering is accountable for\u0026amp;nbsp;establishing\u0026amp;nbsp;and driving engineering processes, organizational standards, and delivery execution strategies that support high-quality, scalable, and safety-critical software platforms.\u0026amp;nbsp;This individual builds\u0026amp;nbsp;and develops strong engineering teams and leaders while fostering accountability, technical excellence, and operational consistency across the organization.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;As a strategic thinker, the\u0026amp;nbsp;Director\u0026amp;nbsp;Engineering continuously evaluates organizational effectiveness, engineering processes, and technical execution while proactively\u0026amp;nbsp;identifying\u0026amp;nbsp;and resolving roadblocks within the organization and across partner teams.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;As a leader, you\u0026amp;nbsp;are responsible for\u0026amp;nbsp;the …\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Development of business plans and operational priorities to meet goals and\u0026amp;nbsp;objectives\u0026amp;nbsp;of the organization.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Facilitation of processes for the delivery of scalable and high-quality embedded software platforms supporting autonomous driving systems.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Collaboration with other management and engineering teams as needed to meet goals,\u0026amp;nbsp;monitor\u0026amp;nbsp;performance, and achieve\u0026amp;nbsp;objectives.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Driving organizational accountability through metrics, engineering processes, and delivery standards.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Understanding of\u0026amp;nbsp;the technical domain of the team’s embedded platform and middleware solutions.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;6\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Career development, coaching, and\u0026amp;nbsp;mentoring of\u0026amp;nbsp;managers and engineers.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;7\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Selection\u0026amp;nbsp;and performance management of the teams.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;8\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Continuous performance feedback and organizational development.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;9\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Compensation analysis in close collaboration with peer managers and People Operations.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;10\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Supporting organizational scalability through process improvements, engineering best practices, and operational consistency.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;11\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Partnering with platform, autonomy, hardware, safety, and integration teams to ensure reliable system-level software delivery.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;What\u0026amp;nbsp;You’ll\u0026amp;nbsp;Need to Succeed:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Ability to be a strategic partner to the organization and\u0026amp;nbsp;identify\u0026amp;nbsp;and plan for future organizational and technical needs.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Strong engineering background within embedded software systems and platform development environments.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Demonstrated experience leading managers and engineering organizations responsible for\u0026amp;nbsp;highly complex\u0026amp;nbsp;software platforms.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience driving engineering processes, organizational standards, and scalable delivery frameworks across distributed teams.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Ability to effectively manage a team of managers and professionals while\u0026amp;nbsp;identifying\u0026amp;nbsp;opportunities to grow and develop the organization.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;6\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Strong experience with embedded Linux systems, middleware frameworks, or low-level platform software.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;7\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience working with safety-critical or\u0026amp;nbsp;highly reliable\u0026amp;nbsp;software systems.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;8\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience driving cross-functional execution across software, hardware, systems, integration, and validation organizations.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;9\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Ability to evangelize best practices and promote consistent standards including test automation, observability, platform reliability, and performance metrics.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;10\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience supporting incident response, root-cause investigations, security initiatives, and compliance activities.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;11\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Strong communication\u0026amp;nbsp;and organizational leadership skills in fast-paced engineering environments.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Bonus Points:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience within the autonomous vehicle industry.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience within the Automotive Industry.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience leading embedded Linux or middleware platform organizations.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience with device drivers, BSPs, or hardware abstraction layers.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience with robotic communication frameworks or distributed software systems.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;6\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience with AUTOSAR\u0026amp;nbsp;base\u0026amp;nbsp;software and microcontroller platforms.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;7\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience with safety-critical system designs and standards.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;8\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience with system bring-up, bootloaders, flashing tools, or platform integration activities.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;9\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience supporting large-scale sensor data systems, logging, or recording frameworks.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Perks of Being a Full-time\u0026amp;nbsp;Torc’r\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Torc cares about our team\u0026amp;nbsp;members\u0026amp;nbsp;and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A competitive compensation package that includes a bonus\u0026amp;nbsp;component\u0026amp;nbsp;and stock options\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;401K plan with a 6% employer match\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Flexibility in schedule and generous paid vacation (available\u0026amp;nbsp;immediately\u0026amp;nbsp;after\u0026amp;nbsp;start\u0026amp;nbsp;date)\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;AD+D and Life Insurance\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW262121992 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW262121992 BCX0\u0026quot;\u0026gt;At Torc,\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW262121992 BCX0\u0026quot;\u0026gt;we’re\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW262121992 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SpellingErrorV2Themed SCXW262121992 BCX0\u0026quot;\u0026gt;Torc’rs\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW262121992 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;LineBreakBlob BlobObject DragDrop SCXW262121992 BCX0\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;SCXW262121992 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;br class=\u0026quot;SCXW262121992 BCX0\u0026quot;\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW262121992 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW262121992 BCX0\u0026quot;\u0026gt;Even if you\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW262121992 BCX0\u0026quot;\u0026gt;don’t\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW262121992 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;EOP SCXW262121992 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW86359851 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW86359851 BCX0\u0026quot;\u0026gt;Our compensation reflects the cost of labor across several geographic markets.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW86359851 BCX0\u0026quot;\u0026gt;Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW86359851 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;EOP SCXW86359851 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW62019229 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW62019229 BCX0\u0026quot;\u0026gt;Job ID:\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;EOP SCXW62019229 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt; 102703\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$226,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$271,700 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127079002,"name":"Compute Platform","child_ids":[],"parent_id":4127075002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8556815002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8899588002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6564910002,"location":{"name":"Fort Worth, Texas"},"metadata":null,"id":8899588002,"updated_at":"2026-10-27T11:29:45-04:00","requisition_id":"R-103040","title":"Driver Trainer/Auditor 2","company_name":"Torc Robotics","first_published":"2026-10-23T17:01:40-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;About the Company\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;br\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.\u0026amp;nbsp;\u0026lt;a class=\u0026quot;c-link\u0026quot; href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot; target=\u0026quot;_blank\u0026quot; data-stringify-link=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot; data-sk=\u0026quot;tooltip_parent\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/a\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026lt;br\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Meet the Team:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:259}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;When you join the Fleet Training \u0026amp;amp; Compliance team you will be part of an elite group of individuals with former commercial vehicle experience, corporate training skills, safety operational experience, and regulatory compliance knowledge.\u0026lt;br\u0026gt;Fleet Training provides program management for Fleet Operations IFTD (In-Vehicle Fallback Test Driver) and SC Certified Personnel programs, as well as fleet-specific training for direct and contract fleet employees.\u0026amp;nbsp; Our motto is \u0026quot;Fundamentum Disciplina Esta\u0026quot;(Training is the foundation); ensuring that the crews have the knowledge to safety operate the autonomous vehicles in their testing efforts.\u0026lt;br\u0026gt;The Fleet Compliance Team’s primary function is to support Torc’s safety program through ongoing management of Federal and State regulations as they pertain to commercial motor carriers. We also serve as subject matter experts for all DOT/CSA related issues and questions. Our motto is “WE A.R.E.” (Audit Ready Everyday).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;What you\u0026#39;ll do\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;:\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:259}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Support implementation, maintenance, and delivery of comprehensive IFTD training programs. To include integration with testing training programs, orientations, skill training, incident response training, and emergency preparedness training. Provides feedback to the operations manager, IFTD program manager, and safety teams to improve programs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist with implementation and oversight of IFTD monitoring \u0026amp;amp; auditing including the use of Lytx in-cab event recorders and real time monitoring as well as in-person auditing of driving behaviors and practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct IFTD quarterly and annual requalification and annual reviews of IFTD Training Program. Maintain currency records to understand the eligibility of crew and scheduling of requalification.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide individual coaching as needed to IFTDs based on feedback from Safety, Fleet Operations and personal observations. Reviews accident/incident summaries to incorporate into communications and training to maximize the IFTD coaching program.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributes to workplace safety and follows OSHA and other state, local, or industry specific regulations. Delivers reporting on progress and opportunities for improvement to Program Manager.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure training, communications, policies, and procedures are received and documented demonstrating timely communications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use Smith System principles in training modules for IFTDs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain IFTD qualification requirements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Driving and ensuring safe operation of autonomous Class 8 trucks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as a fully qualified IFTD for 1-2 shifts a week in Fleet Operation shifts running software release testing activities. Use this in-cab experience to influence future training modules, modify existing training, and/or develop individual coaching.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide feedback to the system engineering team on vehicle dynamics and performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute federal and program process requirements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage the Dynamic Driving Task of an Autonomous Driving System\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manually drives program vehicles in accordance with program expectations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigating inter and intrastate regulations, maintaining ELDs and records\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist in closed course Torc Program Initiatives testing serving as qualified IFTD.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participates in seminars, continuing education, etc., to update knowledge within professional scope\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stays abreast of industry trends and regulations, maintains qualifications, and seeks continuous avenues for growth and improvement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in annual Train-the-Trainer requalification\u0026#39;s with IFTD Program Manager to maintain Trainer eligibility.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain IFTD training records for each IFTD in a central repository.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain training program processes and policies in the Torc document management system.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;What you’ll need to Succeed:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:259,\u0026amp;quot;469777462\u0026amp;quot;:[720],\u0026amp;quot;469777927\u0026amp;quot;:[0],\u0026amp;quot;469777928\u0026amp;quot;:[1]}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in education, Engineering, Business Management, Transportation, Safety or related degree.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Preferred 1- 3 years of experience providing safety training and initiatives and developing and delivering training programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Class A CDL with 5 years of experience with Class 8 tractor-trailer driving on public roads and operating in a wide array of weather conditions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;CDL Training / Testing experience and ability to meet the IFTD Qualification required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;+ 3 points on MVR\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years providing safety training and safety initiatives.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of federal, state, and local government Health \u0026amp;amp; Safety regulations (OSHA, ANSI, DOT, FMCSA, NHTSA, etc.). DOT regulations experience working with commercial trucking required.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Must be able to multitask multiple technologies, including communications devices and vehicle status systems.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Able to work early morning shifts, evenings, and/or weekends, as well as overnight shifts.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated commitment to safety with the ability to identify and act upon safety improvement opportunities.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent skills in operating Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) and utilizing audio/visual equipment for optimal delivery and facilitation of initiatives.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience that demonstrates professional communication skills with the ability to develop correspondence and reports, create and deliver presentations, and interact effectively with diverse clientele.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Highly motivated, energetic, self-directed individual with good analytical and problem-solving skills including root cause and risk analysis methodologies\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leadership and teamwork skills to work collaboratively and influence those with limited safety and health experience\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding Safety \u0026amp;amp; Health principles and the ability to communicate technical concepts effectively to a varied audience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Bonus Points!\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:259,\u0026amp;quot;469777462\u0026amp;quot;:[720],\u0026amp;quot;469777927\u0026amp;quot;:[0],\u0026amp;quot;469777928\u0026amp;quot;:[1]}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Tanker endorsement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Trucking industry affiliations.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Smith System instructional experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Perks of Being a Full-time Torc’r\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A competitive compensation package that includes a bonus component and stock options\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;401K plan with a 6% employer match\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Flexibility in schedule and generous paid vacation (available\u0026amp;nbsp;immediately after start date)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Company-wide holiday office closures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AD+D and Life Insurance\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026lt;br\u0026gt;Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW47676431 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW47676431 BCX0\u0026quot;\u0026gt;Our compensation reflects the cost of labor across several geographic markets.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW47676431 BCX0\u0026quot;\u0026gt;Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW47676431 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;EOP SCXW47676431 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job ID: 103040\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$101,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$121,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4117683002,"name":"Fleet Operations","child_ids":[],"parent_id":4117682002}],"offices":[{"id":4086493002,"name":"Fort Worth","location":"Fort Worth, Texas, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8899588002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8852159002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6543633002,"location":{"name":"Remote, U.S, Ann Arbor, MI, Fort Worth, TX, Blacksburg, VA"},"metadata":null,"id":8852159002,"updated_at":"2026-10-08T12:23:52-04:00","requisition_id":"R-103010","title":"Engineering Manager, Active Sensors (LiDAR)","company_name":"Torc Robotics","first_published":"2026-10-08T12:23:52-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Company\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/a\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Meet the team\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Torc’s Perception teams develop the production machine learning systems that enable our autonomous trucks to understand their surroundings. The Active Sensors team owns the end-to-end lidar perception pipeline, from motion compensation and point-cloud aggregation to multitask learned perception for object detection, road and lane understanding, 3D occupancy\u0026amp;nbsp;estimation for safe vehicle operations. These systems must run in real-time on embedded compute while remaining robust to adverse weather, sensor degradation, and sensor failures. The team works across machine learning, 3D perception, and embedded systems, balancing perception performance and robustness against latency, memory, power and on-board compute budget.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;As the team’s Engineering Manager, you will lead development across the complete perception lifecycle, from data requirements and pipeline architecture through model training, evaluation, integration, deployment, and robotic testing. You will collaborate closely with teams across sensor hardware, data, infrastructure, simulation, compute platform, systems engineering, safety, perception, and planning.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;What you\u0026#39;ll do:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;The Perception department is seeking an experienced and technically strong Engineering Manager to lead a machine learning team developing active sensor-based perception capabilities for our autonomous trucks. \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;You will be responsible for the team’s people leadership, technical direction, and execution. You will create an environment in which engineers can deliver high-quality results, advance the technology, and grow both individually and as a team. You will own roadmap planning, prioritization, and delivery while ensuring that the team’s commitments are clear, realistic, and aligned with the company milestones.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;You will work within a broader organization of teams developing perception and behavior capabilities across the autonomous-driving stack. You will represent the team across the organization, collaborate with technical and cross-functional partners, and communicate progress, dependencies, and risks to senior leadership. \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;The role requires a leader who combines strong people management with technical depth and disciplined execution. You will remain sufficiently close to the team’s work to guide technical decisions and remove blockers while connecting its roadmap to the department’s broader mission of delivering production-grade machine learning systems for autonomous trucking. \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;13\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Lead, coach and develop a team of machine learning and software engineers, including hiring, performance management, career development, and continuous feedback.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;13\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Set the technical direction, roadmap, and priorities for active-sensor perception in alignment with perception and vehicle-level milestones.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;13\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Own the development and delivery of multitask models for object detection, road and lane detection, and free-space estimation using lidar and radar data.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;13\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Guide architecture and design decisions involving shared backbones, task-specific representations, sensor fusion, temporal modeling, uncertainty estimation, and interactions among perception tasks.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;13\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Ensure that improvements to one task do not introduce unacceptable regressions in other tasks or in downstream system behavior.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;13\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Define the team’s strategy for maintaining consistent perception performance across adverse weather, changing environmental conditions, sensor degradation, and sensor failures.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;13\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Drive model and system designs that support graceful degradation when sensor inputs are missing, degraded, delayed, or unreliable.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;13\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Own delivery across the machine learning lifecycle, including data requirements, model development, experimentation, evaluation, integration, release, and monitoring.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;13\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Ensure that training and evaluation datasets provide sufficient quality and coverage across operating conditions, geographic features, rare events, adverse weather, and sensor-failure modes.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;13\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Establish rigorous task-level and system-level metrics, benchmarks, and failure-analysis practices covering precision, recall, range, latency, robustness, cross-task performance, and downstream impact.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;13\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Review technical designs, model architectures, experimental results, training artifacts, and verification evidence to ensure that decisions are supported by data.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;13\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Collaborate with teams across multimodal perception, prediction and planning, data, infrastructure, simulation, sensor hardware, embedded platforms, systems engineering, and safety.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;13\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Track execution against commitments and communicate progress, risks, dependencies, and staffing needs to senior leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;13\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Maintain high engineering standards through design reviews, code and model reviews, reproducible experimentation, and clear release-readiness criteria.\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;What you’ll need to Succeed:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;14\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Robotics, Electrical Engineering, or related field with 6+ years of professional experience or a master\u0026#39;s degree with 4+ years of experience.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;14\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;2+ years of experience leading and managing engineers, including coaching, performance management, and career development.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;14\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Strong technical foundation in machine learning and computer vision, including 3D geometry, model evaluation, uncertainty, and perception failure modes.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;14\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience developing and deploying production machine learning systems for autonomous driving, robotics, or another real-world application.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;14\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience with one or more relevant areas, such as multitask learning, object detection, road and lane detection, or 3D occupancy estimation.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;14\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Strong understanding of lidar sensing and its impact on perception, including scan patterns, reflectance, FMCW lidar, and sensor time synchronization.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;14\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience across the machine learning lifecycle, including data curation, model training, controlled experimentation, offline evaluation, system integration, and production validation.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;14\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience analyzing data distributions, dataset coverage, long-tail scenarios, and the relationship between training data and model performance.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;14\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Strong proficiency in Python and PyTorch, along with practical experience using C++ in production perception or machine learning systems.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;14\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience deploying and optimizing deep learning models using TensorRT, including evaluating tradeoffs among model performance, robustness, latency, memory, power, and hardware utilization.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;14\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Strong understanding of embedded computing platforms and the constraints associated with deploying real-time perception systems.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;14\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience defining technical roadmaps, planning complex machine learning projects, managing cross-functional dependencies, and delivering against program milestones.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;14\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Strong written and verbal communication skills, with the ability to explain technical decisions, results, tradeoffs, and risks to both technical teams and senior leadership.\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Bonus points!\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;19\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related field.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;19\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience with relevant NVIDIA libraries and frameworks, such as CUDA, CuDNN, CuBLAS, NPP, developing custom TensorRT operations.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;19\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Publications, patents, or open-source contributions in machine learning, computer vision, robotics, or autonomous driving.\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Work Location: \u0026lt;/strong\u0026gt;For this position, we are open to hiring in Ann Arbor, MI, Blacksburg, VA, Fort Worth, TX office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Perks of Being a Full-time Torc’r\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Torc cares about our team\u0026amp;nbsp;members\u0026amp;nbsp;and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A competitive compensation package that includes a bonus\u0026amp;nbsp;component\u0026amp;nbsp;and stock options\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026amp;nbsp; \u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AD+D and Life Insurance\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;At Torc,\u0026amp;nbsp;we’re\u0026amp;nbsp;committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our\u0026amp;nbsp;Torc’rs\u0026amp;nbsp;and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our compensation reflects the cost of labor across several geographic markets.\u0026amp;nbsp;Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.\u0026amp;nbsp;Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan.\u0026amp;nbsp;Dependent\u0026amp;nbsp;on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job ID: 103010\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4127082002,"name":"Autonomy","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8852159002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8868920002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6551016002,"location":{"name":"Remote, U.S, Ann Arbor, MI, Fort Worth, TX, Blacksburg, VA"},"metadata":null,"id":8868920002,"updated_at":"2026-10-16T10:19:33-04:00","requisition_id":"R-103021","title":"Engineering Manager - Systems Triage (Metrics \u0026 Analysis)","company_name":"Torc Robotics","first_published":"2026-10-15T12:52:30-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Company\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/a\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Meet the Team\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The System Triage team plays a critical role in understanding how Torc\u0026#39;s autonomous driving software performs in the real world. Through analysis of vehicle data, system performance indicators, and software quality metrics, the team helps engineering leaders identify trends, investigate complex system behaviors, and make informed decisions as we advance toward production.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Within System Triage, the Metrics \u0026amp;amp; Analysis team focuses on turning large volumes of autonomous vehicle data into meaningful engineering insights. From evaluating system performance and traffic law compliance to developing metrics, dashboards, and analysis tools, the team provides visibility into the performance and maturity of our autonomous driving technology.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the Engineering Manager for Metrics \u0026amp;amp; Analysis, you\u0026#39;ll lead a team of technical professionals, establish consistent analytical approaches, and help scale the tools and processes that support engineering decision-making. This is an opportunity to remain close to the technical work while shaping how the team operates, develops, and delivers insights across the organization.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What you\u0026#39;ll do:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;A successful candidate will have experience in people management, cross-functional collaboration, and hands-on data analysis to support system triage and software quality reporting. A solid background in metrics reporting and visualization for large-scale, safety-critical, or complex software systems is necessary to support engineering decision-making.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Manage a small team responsible for analysis and metrics reporting, delivering value to Torc internal engineering and Torc customer-facing teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prioritize and assign team workload across triage, metrics, and reporting requests from stakeholders, and remove blockers so the team can deliver\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coach and develop team members, providing guidance on data analysis approaches, tooling practices, and career growth\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own tracking and reporting of metrics for test escapes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide system performance metrics based on data collected by our self-driving truck\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Report on software quality using concepts such as defect ratios and software heatmap viewpoints\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and maintain data analysis scripts and visualization tools for efficient triage, metric reporting, and trend visualization to help the org quickly extract key learnings related to software maturity\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Combine environment observations with event logs to help identify avenues for investigation and direct root-cause analysis efforts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support defect tracking workflows, including monitoring bug ticket quality and the state of open defects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own and expand the team\u0026#39;s analysis and metrics tooling ecosystem, identifying opportunities to automate manual reporting and reduce turnaround time on requests\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present metrics, trends, and software quality findings to engineering leadership and cross-functional stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with triage and forensics teams to ensure metrics and tooling keep pace with a rapid integration and deployment schedule for the self-driving software stack\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What you will need to succeed:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Computer Engineering, Systems Engineering, Data Science, or related technical field; experience in lieu of education\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2-5 years of industry experience in data analysis, metrics reporting, or test/defect tracking, with some prior experience leading or mentoring a small team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Python programming and SQL for data analysis\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to create new metrics from scratch — defining the metric, implementing the data pipeline, and visualizing the results\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building data analysis scripts and visualization tooling (e.g., Python, SQL, dashboarding tools)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with Jira for defect/bug tracking, and familiarity with software quality reporting concepts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent written and verbal communication skills, with the ability to present technical findings clearly to both technical and non-technical stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong problem-solving / analytical skills, attention to detail, and ability to learn in unstructured environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work in a fast-paced environment with evolving software/hardware infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points!\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with complex embedded or ADAS systems (autonomous driving software architecture, sensors, networking, compute hardware, control systems)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience testing autonomous vehicles, ROS based robotics systems or ADAS features\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with software development tools i.e. build systems, containers, source control etc.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with software for real-time or safety-critical systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Jama for requirements management and traceability\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Work Location: \u0026lt;/strong\u0026gt;For this position, we are open to hiring in Ann Arbor, MI, Blacksburg, VA, Fort Worth, TX office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Perks of Being a Full-time Torc’r\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Torc cares about our team\u0026amp;nbsp;members\u0026amp;nbsp;and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A competitive compensation package that includes a bonus\u0026amp;nbsp;component\u0026amp;nbsp;and stock options\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026amp;nbsp; \u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AD+D and Life Insurance\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;At Torc,\u0026amp;nbsp;we’re\u0026amp;nbsp;committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our\u0026amp;nbsp;Torc’rs\u0026amp;nbsp;and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our compensation reflects the cost of labor across several geographic markets.\u0026amp;nbsp;Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.\u0026amp;nbsp;Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan.\u0026amp;nbsp;Dependent\u0026amp;nbsp;on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job ID: 103021\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$160,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$193,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4139672002,"name":"System V\u0026V and Release","child_ids":[],"parent_id":4127089002}],"offices":[{"id":4028910002,"name":"Blacksburg - HQ","location":"Blacksburg, Virginia, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8868920002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8891718002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6561271002,"location":{"name":"Fort Worth, Texas"},"metadata":null,"id":8891718002,"updated_at":"2026-10-21T15:47:16-04:00","requisition_id":"R-103037","title":"Fleet Operations Manager 1","company_name":"Torc Robotics","first_published":"2026-10-21T15:47:16-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the Fleet Operations Manager within our Fleet Operations and Safety Department, you will oversee autonomous truck operations at our Fort Worth site. This is an on-site role. You will own federal and state requirements, safety and compliance, people management, and fleet administration, reporting to the Director of Fleet Operations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will oversee the testing safety process, dispatch and recovery of test vehicles, and testing objectives, while ensuring regulatory compliance for a Class 8 test fleet and making sure all processes and policies are followed as directed. Responsibilities include business plans and deliverables, daily fleet operations, procurement and financials, safety, logistics, inventories, site onboarding, and vendor negotiations and administration. You will partner with Torc affiliates to ensure safe and continual operations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Do:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Supervise the Logistics Managers and provide leadership to their teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop business plans, metrics, and key performance indicators that measure and deliver on goals, such as miles per day, safety and productivity measures, absences and turnover, fuel economy, and truck repair and maintenance costs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Run day-to-day operations by building schedules, assigning and monitoring work, implementing productivity standards, resolving operational problems, and maintaining reference manuals and new procedures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with logistics, fleet management, and on-road testing to keep testing safe and productive while reducing risk and liability exposure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with engineering to review and approve test plans, fulfill the established safety testing process, and give feedback to test engineering teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own transportation expenses, inventories, budgeting, and forecasting, including monitoring variances and driving corrective action\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support Torc’s safety program and coordinate with the Director of Operational Safety on improvements and site-specific needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure regulatory and DOT compliance, including OSHA, DOT, FMCSA, EPA, local fire code, and industry and state requirements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage inventory, asset tracking, and chain of custody for equipment, tools, and materials, and ensure fleet tractors and trailers are properly licensed, labeled, maintained, and clean\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with maintenance teams to understand base vehicle issues and reduce future downtime\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Monitor weather, road conditions, closures, and traffic, and make sure drivers and conductors have the information they need to avoid hazards\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Administer accident and incident reporting, including coordination with first responders, law enforcement, insurance and recovery companies, and headquarters, and keep leadership informed accurately and on time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build strong relationships with internal and external partners, including local police and transportation officials, to maintain Torc’s reputation in the community\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with Safety, Finance, Talent Acquisition, People Operations, IT, and others to plan for site financial, staffing, and technology needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with People Operations and Talent Acquisition on hiring, onboarding, goal setting, career development, performance management, and employee relations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help create and maintain procedures that protect the confidentiality of company, site, and program materials\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Engineering, Business, Supply Chain Management, Logistics, or a related field preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;6 years of progressive experience in operations and management of a transportation or trucking center and fleet\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of autonomous vehicles and the opportunities and challenges of a fast-moving environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of the industry’s legal obligations, regulations, and guidelines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with budgeting, procurement and financial operations, supervision and training, facilities and asset management, and crisis management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent interpersonal, verbal, and written communication skills, with the ability to build trust and communicate with a diverse workforce\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid technical knowledge and the ability to understand technical designs, challenges, and risks to optimize autonomous vehicle operations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong facilitation and presentation skills for small and large groups\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with Microsoft Office (Word, Excel, PowerPoint, Outlook) and audio/visual equipment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong business judgment, a collaborative style, and strong organizational skills to manage multiple programs at once\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to thrive in a fast-paced environment with changing business needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A passion for developing and growing colleagues to their highest potential\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to maintain sensitive and confidential information\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Travel, Training and Safety Requirements:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Work on-site at our Fort Worth facility\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Valid US driver’s license with a safe driving record required\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Occasional travel to other site locations and other states\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work and collaborate across locations and time zones\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Flexibility to work overtime when project demands\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Wear appropriate personal protective equipment in areas identified through hazard assessment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Occasional exposure to outdoor weather, including inclement weather and temperature extremes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to occasionally lift and carry up to 40 pounds\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;OSHA 30-Hour certificate preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AI Fluency\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Perks of Being a Full-time Torc’r\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A competitive compensation package that includes a bonus component and stock options\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;401K plan with a 6% employer match\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Flexibility in schedule and generous paid vacation (available immediately after start date)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Company-wide holiday office closures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AD+D and Life Insurance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job ID:\u0026lt;/strong\u0026gt; 103037\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$117,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$141,100 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4117683002,"name":"Fleet Operations","child_ids":[],"parent_id":4117682002}],"offices":[{"id":4086493002,"name":"Fort Worth","location":"Fort Worth, Texas, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8891718002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8842543002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6540100002,"location":{"name":"Remote - US"},"metadata":null,"id":8842543002,"updated_at":"2026-10-08T16:45:26-04:00","requisition_id":"R-102999","title":"HiL V\u0026V Manager","company_name":"Torc Robotics","first_published":"2026-10-08T16:45:26-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What you will do:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;As the HiL Test Manager, you will lead a team of HiL test engineers responsible for the hardware-in-the-loop verification and validation (V\u0026amp;amp;V) of Torc’s autonomous truck. You will own the HiL test strategy and set the technical direction for the team, ensuring that HiL test evidence supports Torc’s safety case and aligns with ISO 26262 (functional safety) and ISO 21448 (SOTIF). You will also partner with development, integration, systems, and safety teams and be instrumental in growing the robustness and safety of our self-driving technology.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead, mentor, and grow a team of HiL test engineers, setting clear goals, priorities, and development plans.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and own the HiL test strategy, roadmap, and technical direction in support of Torc’s autonomous truck safety case.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure HiL test methods, processes, and evidence align with ISO 26262 and ISO 21448 (SOTIF), including verification of safety mechanisms and fault handling, and testing of triggering conditions and performance limitations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Product, Systems, and Safety teams to translate functional and safety requirements into HiL test specifications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan and oversee HiL test campaigns, including resourcing, scheduling, bench allocation, and delivery against program milestones.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Guide the design of in-house HiL benches to achieve the HiL test strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure test cases, procedures, and results are documented with traceability to requirements; identify testing gaps and manage relationships with internal tools teams and external HiL vendors.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Review HiL results, drive defect triage, and communicate V\u0026amp;amp;V status, risks, and findings to engineering leadership and stakeholders through dashboards and test reports.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What you’ll need to succeed:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;A Bachelor\u0026#39;s degree in engineering or a related field with 6+ years of experience, or a Master\u0026#39;s degree with 4+ years of experience.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Significant experience (typically 6+ years) driving HiL V\u0026amp;amp;V on complex engineering systems, including defining test plans, executing campaigns, and reporting results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of ISO 26262 and ISO 21448 (SOTIF), and how they apply to HiL-based verification and validation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience defining HiL test strategy and overseeing the development of test cases with traceability to functional and safety requirements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of Autonomous Driving technologies, including sensors (LiDAR, radar, cameras), perception, sensor fusion, and vehicle dynamics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of ROS/ROS2 (topics, services, actions) system monitoring and diagnostics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of CAN bus protocols and tools such as Vector CANoe and CANalyzer.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Python, CAPL and/or C++ and Git, with the ability to guide the development of HiL test scripts and automation frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with system-level troubleshooting, fault isolation, and root-cause analysis across integrated hardware and software.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing cross-functional partners and external vendors, and effectively communicating progress and test results to leadership and stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points!\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;Experience contributing to safety cases or safety assurance arguments, including HiL tool and bench qualification (e.g., ISO 26262 tool confidence).\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with fault injection testing and verification of safety mechanisms on embedded and ECU-level systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;ADAS or autonomous vehicle verification and validation experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience correlating HiL results with simulation and track or road testing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience hiring, building, and scaling engineering teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$160,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$193,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4139672002,"name":"System V\u0026V and Release","child_ids":[],"parent_id":4127089002}],"offices":[{"id":4045225002,"name":"Remote - US","location":null,"child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8842543002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8857601002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6545915002,"location":{"name":"Fort Worth, TX"},"metadata":null,"id":8857601002,"updated_at":"2026-10-08T14:08:21-04:00","requisition_id":"R-102987","title":"Logistics Manager 1","company_name":"Torc Robotics","first_published":"2026-10-05T13:17:55-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;About the Company\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;/span\u0026gt;\u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Hyperlink\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/a\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Meet the Team\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;div id=\u0026quot;56$146082\u0026quot; class=\u0026quot;WGTF\u0026quot; data-automation-id=\u0026quot;decorationWrapper\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;WATI\u0026quot;\u0026gt;\n\u0026lt;div id=\u0026quot;56$146082-6dc2650318875e13\u0026quot; class=\u0026quot;WH5S WN4S WC5\u0026quot; data-automation-id=\u0026quot;multilineTextView\u0026quot; data-metadata-id=\u0026quot;56$146082\u0026quot; data-uxi-form-item-child-list-index=\u0026quot;24\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;gwt-HTML\u0026quot;\u0026gt;Responsible for supervising daily operations supporting Class 8 autonomous vehicle development and testing. Oversees personnel, staffing, scheduling, safety compliance, and operational coordination to ensure testing activities are executed safely and efficiently. Provides frontline leadership through employee development, performance management, and accountability while fostering a team environment aligned with Torc’s core values.\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;What You’ll Do\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;1. Daily Operations \u0026amp;amp; Logistics\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Supervise daily autonomous vehicle testing operations and personnel assignments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate staffing, equipment, and resources to support scheduled testing activities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure effective shift transitions, operational handoffs, and communication between crews.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Monitor daily execution, resolve routine operational issues, and escalate barriers when necessary.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure adherence to established operational procedures and testing requirements.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;2. Personnel Leadership \u0026amp;amp; Development\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Provide direct supervision to In-Vehicle Fallback Test Drivers (IFTDs) and Fleet Operations Specialists (FOSs).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct employee performance evaluations, provide coaching, and support professional development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish clear expectations and hold team members accountable for performance, safety, and procedural compliance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Address employee concerns, recognize strong performance, and administer corrective action when appropriate.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support recruitment, interviews, onboarding, training, and employee qualification requirements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster a positive team culture that reflects Torc’s core values, promotes trust, and encourages teamwork and accountability.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;3. Staffing \u0026amp;amp; Scheduling\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Maintain daily and weekly staffing schedules aligned with operational requirements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assign personnel based on qualifications, availability, and testing needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage employee attendance, timekeeping, and scheduling adjustments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate staffing and travel requirements for remote testing assignments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and communicate personnel shortages and coverage limitations.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;4. Fleet \u0026amp;amp; Testing Support\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Coordinate personnel and logistical support for assigned testing activities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Verify operational readiness of personnel, equipment, and supporting resources.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with Fleet Management and Maintenance regarding vehicle availability and readiness.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure completion of required vehicle inspections, fueling, and operational documentation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communicate equipment issues and operational constraints affecting testing.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;5. Safety \u0026amp;amp; Regulatory Compliance\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Enforce company safety policies, operational procedures, and applicable DOT/FMCSA requirements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure personnel maintain required training, certifications, and qualifications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support incident investigations, safety event reviews, and corrective actions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote a safety-first culture through consistent coaching and accountability.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;6. Reporting \u0026amp;amp; Cross-Functional Coordination\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Monitor daily operational performance against established KPIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain accurate staffing records, operational reports, and shift documentation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track scheduled versus executed testing activities and document operational delays.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate with Engineering, Safety, Maintenance, Training, and other supporting departments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communicate operational updates, staffing limitations, and performance concerns to leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify opportunities to improve daily efficiency and operational execution.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;What You’ll Need to Succeed\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;Valid US Driver\u0026#39;s license with a safe driving record\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;Terminal and Yard Operation experience\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Safety Mindset\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Requires continuous education and training with a passion for knowledge to maintain the highest level of ingenuity and creative thinking.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Appropriate personal protective equipment is required as needed in assigned areas such as the garage\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Occasional exposure to outdoor weather conditions. Ability to work occasionally in inclement weather/temperature extremes.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;May occasionally lift and carry up to 60 pounds\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with Motive\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience scheduling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Interest in learning Engineering or technology\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Perks of Being a Full-time Torc’r\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026amp;nbsp;\u0026amp;nbsp; \u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A competitive compensation package that includes a bonus component and stock options\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;401K plan with a 6% employer match\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Flexibility in schedule and generous paid vacation (available immediately after start date)\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;AD+D and Life Insurance\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW110596711 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW110596711 BCX0\u0026quot;\u0026gt;At Torc, \u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW110596711 BCX0\u0026quot;\u0026gt;we’re\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW110596711 BCX0\u0026quot;\u0026gt; committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our \u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SpellingErrorV2Themed SCXW110596711 BCX0\u0026quot;\u0026gt;Torc’rs\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW110596711 BCX0\u0026quot;\u0026gt; and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;LineBreakBlob BlobObject DragDrop SCXW110596711 BCX0\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;SCXW110596711 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;br class=\u0026quot;SCXW110596711 BCX0\u0026quot;\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW110596711 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW110596711 BCX0\u0026quot;\u0026gt;Even if you \u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW110596711 BCX0\u0026quot;\u0026gt;don’t\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW110596711 BCX0\u0026quot;\u0026gt; meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;EOP Selected SCXW110596711 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW18728755 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW18728755 BCX0\u0026quot;\u0026gt;Job ID: 102987\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$92,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$110,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4117683002,"name":"Fleet Operations","child_ids":[],"parent_id":4117682002}],"offices":[{"id":4086493002,"name":"Fort Worth","location":"Fort Worth, Texas, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8857601002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8695202002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6474259002,"location":{"name":"Remote, U.S, Ann Arbor, MI, Fort Worth, TX, Blacksburg, VA"},"metadata":null,"id":8695202002,"updated_at":"2026-10-01T15:50:40-04:00","requisition_id":"R-102882","title":"Machine Learning Engineer, II - 3D Perception","company_name":"Torc Robotics","first_published":"2026-08-11T14:34:22-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Company\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/a\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;PDq2pG_selectionAnchorContainer\u0026quot; data-section-id=\u0026quot;1xu56s8\u0026quot; data-start=\u0026quot;342\u0026quot; data-end=\u0026quot;358\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Meet the Team\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;360\u0026quot; data-end=\u0026quot;736\u0026quot;\u0026gt;Torc\u0026#39;s Multi-Modal Perception team is responsible for developing the machine learning systems that enable our autonomous trucks to perceive and understand the world around them. By combining information from cameras, LiDAR, and other sensor modalities, the team builds production-ready perception capabilities that provide the foundation for safe, reliable autonomous driving.\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;738\u0026quot; data-end=\u0026quot;1214\u0026quot;\u0026gt;As a Machine Learning Engineer II – 3D Perception, you\u0026#39;ll join a collaborative team of machine learning engineers and researchers focused on solving complex real-world perception challenges. This role is primarily focused on advancing our Bird\u0026#39;s Eye View (BEV) perception capabilities by developing, evaluating, and improving production machine learning solutions that support environmental understanding, model robustness, and system performance across Torc\u0026#39;s autonomy stack.\u0026lt;/p\u0026gt;\n\u0026lt;h3 class=\u0026quot;PDq2pG_selectionAnchorContainer\u0026quot; data-section-id=\u0026quot;1weojvn\u0026quot; data-start=\u0026quot;0\u0026quot; data-end=\u0026quot;22\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;4\u0026quot; data-end=\u0026quot;22\u0026quot;\u0026gt;What You\u0026#39;ll Do\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul data-start=\u0026quot;24\u0026quot; data-end=\u0026quot;1448\u0026quot;\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;12ydo1v\u0026quot; data-start=\u0026quot;24\u0026quot; data-end=\u0026quot;116\u0026quot;\u0026gt;Design, develop, and improve machine learning models supporting Torc\u0026#39;s perception systems.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;11hygrg\u0026quot; data-start=\u0026quot;117\u0026quot; data-end=\u0026quot;267\u0026quot;\u0026gt;Own model development and delivery for well-defined perception problem areas, from data preparation and training through evaluation and integration.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;1juo37o\u0026quot; data-start=\u0026quot;268\u0026quot; data-end=\u0026quot;385\u0026quot;\u0026gt;Write production-quality Python and PyTorch code to support scalable training, evaluation, and inference workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;1iy5x36\u0026quot; data-start=\u0026quot;386\u0026quot; data-end=\u0026quot;529\u0026quot;\u0026gt;Analyze model performance, identify failure modes, and independently troubleshoot issues to improve robustness, accuracy, and generalization.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;1kl8qvv\u0026quot; data-start=\u0026quot;530\u0026quot; data-end=\u0026quot;666\u0026quot;\u0026gt;Develop and evaluate perception models leveraging multi-modal sensor data, with an emphasis on camera-based and 3D perception systems.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;abdzlt\u0026quot; data-start=\u0026quot;667\u0026quot; data-end=\u0026quot;822\u0026quot;\u0026gt;Collaborate with software engineers, infrastructure teams, and autonomy engineers to integrate perception models into larger production software systems.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;1ytf1n6\u0026quot; data-start=\u0026quot;823\u0026quot; data-end=\u0026quot;987\u0026quot;\u0026gt;Contribute to improvements in training pipelines, data workflows, experimentation tooling, and developer workflows that accelerate model iteration and deployment.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;1xv61dg\u0026quot; data-start=\u0026quot;988\u0026quot; data-end=\u0026quot;1093\u0026quot;\u0026gt;Participate in model architecture discussions and contribute technical recommendations within the team.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;jejd5v\u0026quot; data-start=\u0026quot;1094\u0026quot; data-end=\u0026quot;1185\u0026quot;\u0026gt;Lead small technical initiatives or model components with guidance from senior engineers.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;16rdacv\u0026quot; data-start=\u0026quot;1186\u0026quot; data-end=\u0026quot;1320\u0026quot;\u0026gt;Support and mentor Machine Learning Engineer I team members on implementation, experimentation, and machine learning best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;4996ze\u0026quot; data-start=\u0026quot;1321\u0026quot; data-end=\u0026quot;1448\u0026quot;\u0026gt;Document technical work, evaluation results, and design decisions to support knowledge sharing and long-term maintainability.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-section-id=\u0026quot;1r8qq63\u0026quot; data-start=\u0026quot;1455\u0026quot; data-end=\u0026quot;1490\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;1459\u0026quot; data-end=\u0026quot;1490\u0026quot;\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul data-start=\u0026quot;1492\u0026quot; data-end=\u0026quot;2758\u0026quot;\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;k9tfjm\u0026quot; data-start=\u0026quot;1492\u0026quot; data-end=\u0026quot;1761\u0026quot;\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with\u0026amp;nbsp;\u0026lt;strong\u0026gt;4\u0026lt;/strong\u0026gt;\u0026lt;strong data-start=\u0026quot;1619\u0026quot; data-end=\u0026quot;1631\u0026quot;\u0026gt;+ years\u0026lt;/strong\u0026gt; of relevant industry experience, OR Master\u0026#39;s degree with\u0026amp;nbsp;\u0026lt;strong\u0026gt;3\u0026lt;/strong\u0026gt;\u0026lt;strong data-start=\u0026quot;1689\u0026quot; data-end=\u0026quot;1701\u0026quot;\u0026gt;+ years\u0026lt;/strong\u0026gt; of relevant experience, or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;8wfphs\u0026quot; data-start=\u0026quot;1762\u0026quot; data-end=\u0026quot;1901\u0026quot;\u0026gt;Experience developing machine learning models for computer vision, perception, robotics, autonomous systems, or a closely related domain.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;ijo3kl\u0026quot; data-start=\u0026quot;1902\u0026quot; data-end=\u0026quot;2032\u0026quot;\u0026gt;Strong programming skills in Python and PyTorch, with experience writing maintainable, production-quality machine learning code.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;k5oiu9\u0026quot; data-start=\u0026quot;2033\u0026quot; data-end=\u0026quot;2130\u0026quot;\u0026gt;Experience training, evaluating, and improving deep learning models using large-scale datasets.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;1r127ud\u0026quot; data-start=\u0026quot;2131\u0026quot; data-end=\u0026quot;2198\u0026quot;\u0026gt;Experience working with image-based and/or 3D perception systems.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;hw76q8\u0026quot; data-start=\u0026quot;2199\u0026quot; data-end=\u0026quot;2294\u0026quot;\u0026gt;Solid understanding of deep learning architectures commonly used for perception applications.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;fw5nvl\u0026quot; data-start=\u0026quot;2295\u0026quot; data-end=\u0026quot;2402\u0026quot;\u0026gt;Experience debugging model behavior, analyzing performance metrics, and proposing practical improvements.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;kuffbr\u0026quot; data-start=\u0026quot;2403\u0026quot; data-end=\u0026quot;2502\u0026quot;\u0026gt;Ability to independently execute complex machine learning work within well-defined problem areas.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;181o9a1\u0026quot; data-start=\u0026quot;2503\u0026quot; data-end=\u0026quot;2615\u0026quot;\u0026gt;Experience collaborating cross-functionally to integrate machine learning models into larger software systems.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;rrydhk\u0026quot; data-start=\u0026quot;2616\u0026quot; data-end=\u0026quot;2758\u0026quot;\u0026gt;Strong problem-solving skills with the ability to operate effectively in an environment with evolving technical challenges and requirements.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-section-id=\u0026quot;1k57vh8\u0026quot; data-start=\u0026quot;2765\u0026quot; data-end=\u0026quot;2785\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;2769\u0026quot; data-end=\u0026quot;2785\u0026quot;\u0026gt;Bonus Points\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul data-start=\u0026quot;2787\u0026quot; data-end=\u0026quot;3642\u0026quot; data-is-last-node=\u0026quot;\u0026quot; data-is-only-node=\u0026quot;\u0026quot;\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;f2wfot\u0026quot; data-start=\u0026quot;2787\u0026quot; data-end=\u0026quot;2872\u0026quot;\u0026gt;Experience developing perception systems for autonomous driving, robotics, or ADAS.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;1kkobkf\u0026quot; data-start=\u0026quot;2873\u0026quot; data-end=\u0026quot;2992\u0026quot;\u0026gt;Experience with LiDAR, point cloud processing, sensor fusion, BEV representations, or other 3D perception techniques.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;8xa1xv\u0026quot; data-start=\u0026quot;2993\u0026quot; data-end=\u0026quot;3062\u0026quot;\u0026gt;Experience with temporal perception models or video-based learning.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;1uufedn\u0026quot; data-start=\u0026quot;3063\u0026quot; data-end=\u0026quot;3124\u0026quot;\u0026gt;Experience with C++, ROS, or robotics software development.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;s8haev\u0026quot; data-start=\u0026quot;3125\u0026quot; data-end=\u0026quot;3219\u0026quot;\u0026gt;Experience deploying machine learning models into production autonomy or robotics platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;15ta1r5\u0026quot; data-start=\u0026quot;3220\u0026quot; data-end=\u0026quot;3316\u0026quot;\u0026gt;Experience working with large-scale perception datasets and distributed training environments.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;op7fj5\u0026quot; data-start=\u0026quot;3317\u0026quot; data-end=\u0026quot;3417\u0026quot;\u0026gt;Familiarity with perception evaluation frameworks, model validation, and performance benchmarking.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;1hcvbt7\u0026quot; data-start=\u0026quot;3418\u0026quot; data-end=\u0026quot;3519\u0026quot;\u0026gt;Experience improving ML tooling, automation, training workflows, or experimentation infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;rgn9wl\u0026quot; data-start=\u0026quot;3520\u0026quot; data-end=\u0026quot;3642\u0026quot; data-is-last-node=\u0026quot;\u0026quot;\u0026gt;Experience leading a small technical initiative or owning a production ML component from development through deployment.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Work Location: \u0026lt;/strong\u0026gt;For this position, we are open to hiring in Ann Arbor, MI, Blacksburg, VA, Fort Worth, TX office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Perks of Being a Full-time Torc’r\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Torc cares about our team\u0026amp;nbsp;members\u0026amp;nbsp;and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A competitive compensation package that includes a bonus\u0026amp;nbsp;component\u0026amp;nbsp;and stock options\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026amp;nbsp; \u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AD+D and Life Insurance\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;At Torc,\u0026amp;nbsp;we’re\u0026amp;nbsp;committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our\u0026amp;nbsp;Torc’rs\u0026amp;nbsp;and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our compensation reflects the cost of labor across several geographic markets.\u0026amp;nbsp;Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.\u0026amp;nbsp;Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan.\u0026amp;nbsp;Dependent\u0026amp;nbsp;on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job ID: 102882\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$153,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$183,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127082002,"name":"Autonomy","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8695202002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8852888002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6543715002,"location":{"name":"Remote - US, Ann Arbor, MI"},"metadata":null,"id":8852888002,"updated_at":"2026-10-01T15:50:40-04:00","requisition_id":"R-103006","title":"Machine Learning Engineer II - Learned Planning (Reinforcement Learning)","company_name":"Torc Robotics","first_published":"2026-09-29T17:15:57-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Company\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/a\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Meet the Team:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;As a Machine Learning Engineer II – Learned Behaviors, you will help develop and\u0026amp;nbsp;deploy\u0026amp;nbsp;\u0026amp;nbsp;behavior\u0026amp;nbsp;models that power decision-making for autonomous trucks. Working closely with teams across\u0026amp;nbsp;perception, prediction, planning, and safety, you will contribute to learned behavior modules that enable safe, efficient, and human-like driving in real-world freight operations.\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;This role focuses on building,\u0026amp;nbsp;validating, and improving machine learning models and infrastructure that support learned behavior systems within the autonomy stack.\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;What\u0026amp;nbsp;You’ll\u0026amp;nbsp;Do\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop and train machine learning models for learned behavior systems, including approaches such as behavior cloning, imitation learning, and reinforcement learning.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement production-quality ML code to support model training, evaluation, and inference within the autonomy stack.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyze model performance, identify failure modes, and propose improvements to increase robustness and generalization across scenarios.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to model training pipelines and data workflows, curating behavior datasets from simulation, fleet logs, and on-vehicle data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with simulation, validation, and autonomy engineering teams to test and evaluate learned behavior models across diverse driving environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help integrate learned behavior models into simulation and testing workflows, enabling faster iteration and more comprehensive validation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the development of tooling and infrastructure that improves experimentation speed, reproducibility, and model iteration.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to technical discussions around model architecture and training strategies within the team.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4+ years of industry experience, or a\u0026amp;nbsp;Master’s\u0026amp;nbsp;degree with 2+ years of experience.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience applying machine learning techniques such as imitation learning, reinforcement learning, or sequence modeling to robotics, autonomous systems, or complex control environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong programming skills in Python and PyTorch, with experience writing production-quality ML code.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience training and evaluating machine learning models using large datasets and scalable compute environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of ML architectures used in autonomy systems, such as transformers, graph neural networks, or sequence models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience debugging model behavior, analyzing performance metrics, and iterating on training pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to collaborate with cross-functional teams to integrate ML models into larger software systems.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points!\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience working in autonomous driving, robotics, or simulation-based training environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with reinforcement learning frameworks or distributed training systems (e.g., Ray).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with simulation environments or large-scale behavior datasets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with vehicle dynamics, motion planning, or multi-agent decision-making systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience deploying ML models into production or real-world robotics systems.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Perks of Being a Full-time\u0026amp;nbsp;Torc’r\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A competitive compensation package that includes a bonus component and stock options\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;401K plan with a 6% employer match\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Flexibility in schedule and generous paid vacation (available immediately after start date)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AD+D and Life Insurance\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;At Torc,\u0026amp;nbsp;we’re\u0026amp;nbsp;committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our\u0026amp;nbsp;Torc’rs\u0026amp;nbsp;and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026amp;nbsp;\u0026lt;br\u0026gt;Even if you\u0026amp;nbsp;don’t\u0026amp;nbsp;meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;For this position, we are open to hiring in Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job ID:\u0026amp;nbsp;\u0026lt;/strong\u0026gt; 103006\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$153,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$183,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127082002,"name":"Autonomy","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8852888002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8525554002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6405123002,"location":{"name":"Ann Arbor, MI, Fort Worth, TX"},"metadata":null,"id":8525554002,"updated_at":"2026-10-01T15:50:40-04:00","requisition_id":"R-102680","title":"ML Engineer, II - App Engine","company_name":"Torc Robotics","first_published":"2026-04-29T10:53:47-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;About the Company\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;/span\u0026gt;\u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Hyperlink\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/a\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Meet the Team\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;o\u0026quot; data-font=\u0026quot;Courier New\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1440,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Courier New\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[9675],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;o\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;2\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;We\u0026#39;re\u0026amp;nbsp;a diverse group of 9-10 \u0026quot;Performant C++\u0026quot; enthusiasts - we value collaboration,\u0026amp;nbsp;dedication\u0026amp;nbsp;and professional development.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;o\u0026quot; data-font=\u0026quot;Courier New\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1440,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Courier New\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[9675],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;o\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;2\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;We create the application layer in the truck. Our customers are the Feature teams (ie: Lidar, Camera, Planner…) - they use our SDK to\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;compose\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;their applications.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;o\u0026quot; data-font=\u0026quot;Courier New\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1440,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Courier New\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[9675],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;o\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;2\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Our team formed a year ago, when Torc approved our proposal to own the application layer, building upon our success with tools for model inference. Recently we achieved a major milestone: our first internal customers deployed to the Truck apps built on our framework.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;o\u0026quot; data-font=\u0026quot;Courier New\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1440,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Courier New\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[9675],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;o\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;2\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;We\u0026#39;re\u0026amp;nbsp;growing\u0026amp;nbsp;\u0026amp;amp; we\u0026#39;re\u0026amp;nbsp;on Torc\u0026#39;s Critical Path for commercialization.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;o\u0026quot; data-font=\u0026quot;Courier New\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1440,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Courier New\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[9675],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;o\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;2\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Performance matters - each\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;compute module\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;is resource constrained,\u0026amp;nbsp;it’s\u0026amp;nbsp;our job to empower full resource\u0026amp;nbsp;utilization\u0026amp;nbsp;across\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;CPU,\u0026amp;nbsp;GPU\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026amp;nbsp;and shared memory (related:\u0026amp;nbsp;nVidia\u0026amp;nbsp;AGX).\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;o\u0026quot; data-font=\u0026quot;Courier New\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1440,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Courier New\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[9675],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;o\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;6\u0026quot; data-aria-level=\u0026quot;2\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Safety matters - we share the roads with the public every\u0026amp;nbsp;day in Texas. Our code must adhere to\u0026amp;nbsp;industry\u0026amp;nbsp;best practices, and our team\u0026#39;s deliverables play\u0026amp;nbsp;an important role\u0026amp;nbsp;in the safety case for Torc\u0026#39;s Virtual Driver system.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What\u0026amp;nbsp;You’ll\u0026amp;nbsp;Do\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;o\u0026quot; data-font=\u0026quot;Courier New\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1440,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Courier New\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[9675],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;o\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;2\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Develop a world class SDK / Framework for the composition and execution of applications that form the Virtual Driver system at Torc Robotics\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;o\u0026quot; data-font=\u0026quot;Courier New\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1440,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Courier New\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[9675],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;o\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;2\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Write C++ code!\u0026amp;nbsp;You\u0026#39;ll\u0026amp;nbsp;work as a professional developer on the critical path towards commercialization.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;o\u0026quot; data-font=\u0026quot;Courier New\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1440,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Courier New\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[9675],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;o\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;2\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Grow as a C++ professional, in the\u0026amp;nbsp;future-proof\u0026amp;nbsp;vertical of safety-critical robotics (level 4\u0026amp;nbsp;self driving\u0026amp;nbsp;class 8 trucking)\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;o\u0026quot; data-font=\u0026quot;Courier New\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1440,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Courier New\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[9675],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;o\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;2\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Resolve field issues from our internal customers, by interrogating logs, provisioning telemetry,\u0026amp;nbsp;creating\u0026amp;nbsp;tests and writing code\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;o\u0026quot; data-font=\u0026quot;Courier New\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1440,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Courier New\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[9675],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;o\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;2\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Invent solutions to modern issues related to embedded\u0026amp;nbsp;robotics :\u0026amp;nbsp;determinism, type safety, test coverage, CUDA, observability/telemetry, concurrency, synch/asynch\u0026amp;nbsp;execution models, execution graphs, throughput, latency and much more.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;o\u0026quot; data-font=\u0026quot;Courier New\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1440,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Courier New\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[9675],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;o\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;6\u0026quot; data-aria-level=\u0026quot;2\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Collaborate with team members at various levels of seniority, and engineers in related groups like Feature Development and Hardware Acceleration.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What\u0026amp;nbsp;You’ll\u0026amp;nbsp;Need to Succeed\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;o\u0026quot; data-font=\u0026quot;Courier New\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1440,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Courier New\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[9675],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;o\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;2\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Object oriented\u0026amp;nbsp;C++ :\u0026amp;nbsp;we are the team that can put your\u0026amp;nbsp;expertise\u0026amp;nbsp;in C++ / C17 to use. You need to love working in C++ to thrive in this role.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;o\u0026quot; data-font=\u0026quot;Courier New\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1440,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Courier New\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[9675],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;o\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;2\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;An ability\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;create\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;simple and\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;easil\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;y-understood\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;software\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;code\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;o\u0026quot; data-font=\u0026quot;Courier New\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1440,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Courier New\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[9675],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;o\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;2\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus\u0026amp;nbsp;demonstrates competences and technical proficiencies typically acquired through 4+ years of experience or;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;o\u0026quot; data-font=\u0026quot;Courier New\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1440,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Courier New\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[9675],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;o\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;2\u0026quot;\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus\u0026amp;nbsp;demonstrates competences and technical proficiencies typically acquired through 0-3+ years of experience.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;o\u0026quot; data-font=\u0026quot;Courier New\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1440,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Courier New\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[9675],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;o\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;2\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience with Linux\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;o\u0026quot; data-font=\u0026quot;Courier New\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1440,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Courier New\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[9675],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;o\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;2\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Dedication to\u0026amp;nbsp;first-time-quality, timeliness,\u0026amp;nbsp;teamwork\u0026amp;nbsp;\u0026amp;amp; dependability.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;o\u0026quot; data-font=\u0026quot;Courier New\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1440,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Courier New\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[9675],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;o\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;2\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Professional experience applying design patterns and\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;C++ features\u0026amp;nbsp;to real-world problems\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;o\u0026quot; data-font=\u0026quot;Courier New\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1440,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Courier New\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[9675],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;o\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;2\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Nvidia CUDA API (Runtime, Driver)\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;o\u0026quot; data-font=\u0026quot;Courier New\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1440,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Courier New\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[9675],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;o\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;2\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Nvidia embedded\u0026amp;nbsp;compute\u0026amp;nbsp;devices (AGX, Jetson, Thor)\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;o\u0026quot; data-font=\u0026quot;Courier New\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1440,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Courier New\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[9675],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;o\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;2\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience developing\u0026amp;nbsp;SDK\u0026#39;s\u0026amp;nbsp;for complex embedded systems\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;o\u0026quot; data-font=\u0026quot;Courier New\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1440,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Courier New\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[9675],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;o\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;2\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience in autonomous robotic or vehicle systems.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;o\u0026quot; data-font=\u0026quot;Courier New\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1440,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Courier New\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[9675],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;o\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;6\u0026quot; data-aria-level=\u0026quot;2\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience solving problems involving topics such as: pipelining, memory hierarchy, locality, ABI compatibility,\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026amp;nbsp;CUDA, MISRA/ISO26262,\u0026amp;nbsp;resource\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026amp;nbsp;management\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Perks of Being a Full-time\u0026amp;nbsp;Torc’r\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Torc cares about our team\u0026amp;nbsp;members\u0026amp;nbsp;and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A competitive compensation package that includes a bonus\u0026amp;nbsp;component\u0026amp;nbsp;and stock options\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;401K plan with a 6% employer match\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Flexibility in schedule and generous paid vacation (available\u0026amp;nbsp;immediately\u0026amp;nbsp;after\u0026amp;nbsp;start\u0026amp;nbsp;date)\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;AD+D and Life Insurance\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW128728947 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW128728947 BCX0\u0026quot;\u0026gt;At Torc,\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW128728947 BCX0\u0026quot;\u0026gt;we’re\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW128728947 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SpellingErrorV2Themed SCXW128728947 BCX0\u0026quot;\u0026gt;Torc’rs\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW128728947 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;LineBreakBlob BlobObject DragDrop SCXW128728947 BCX0\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;SCXW128728947 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;br class=\u0026quot;SCXW128728947 BCX0\u0026quot;\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW128728947 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW128728947 BCX0\u0026quot;\u0026gt;Even if you\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW128728947 BCX0\u0026quot;\u0026gt;don’t\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW128728947 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;EOP Selected SCXW128728947 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW262322637 BCX0\u0026quot;\u0026gt;Our compensation reflects the cost of labor across several geographic markets.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW262322637 BCX0\u0026quot;\u0026gt;Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW262322637 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW144455115 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW144455115 BCX0\u0026quot;\u0026gt;Job ID: 102680\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$153,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$183,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127082002,"name":"Autonomy","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8525554002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8651349002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6455117002,"location":{"name":"Remote - US, Ann Arbor, MI "},"metadata":null,"id":8651349002,"updated_at":"2026-10-14T09:35:18-04:00","requisition_id":"R-102870","title":"ML Engineer, II - Perception","company_name":"Torc Robotics","first_published":"2026-08-07T10:00:04-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;About the Company\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;/span\u0026gt; \u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026lt;/span\u0026gt; \u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Meet the Team\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Torc Sim is the simulation platform built by our Dataloop + Simulation division to help Autonomy teams replay, recompute, evaluate, and visualize their models against real and synthetic driving data at scale. It is the backbone that turns a logged drive into a repeatable, measurable experiment, and we are working to scale our impact across all our Autonomy users.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;We are hiring a Machine Learning Engineer to sit at the center of that growth: reporting to Dataloop + Simulation but living day-to-day with one or two Autonomy teams to drive Torc Sim adoption from the inside. You will be the person who makes sure a model team\u0026#39;s replay/recompute jobs run at scale, that the metrics coming out\u0026amp;nbsp;are interpretable and auditable, and that engineers can visualize what their model is doing. Along the way, you will become the resident expert on whichever model you are partnered with, whether Perception or Behavior models, so you fluently translate between \u0026quot;simulation platform\u0026quot; and \u0026quot;autonomy model.”\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;What You\u0026#39;ll Do\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Act as the embedded point of contact between Dataloop + Simulation and one to two Autonomy teams, driving hands-on adoption of Torc Sim\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Implement the end-to-end data flow: data ops platform → simulation environment → persistent storage running at scale\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Onboard Autonomy models to execute replay/recompute workflows at scale, as well as the subsequent metric evaluation\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Ensure adoption of the visualization tooling and bring back UI/UX improvements for our development backlog\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Become a domain expert on the model(s) your partner team owns (e.g., Camera, Lidar, Vehicle Intent, Object Tracking) so you can implement and own integrations\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Debug issues that span the full stack, from data ingestion, through simulation execution, to storage and metrics — and drive them to resolution\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Translate on-the-ground feedback from Autonomy engineers into concrete requirements for the Dataloop + Simulation product roadmap\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Document workflows and onboard new users so adoption scales beyond your own hands-on support\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 4+ years of experience OR\u0026amp;nbsp;Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 0-3+ years of experience.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;6\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Strong Python skills and experience building or operating data pipelines at scale\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;6\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience working with simulation, replay, or model validation\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;6\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Familiarity with autonomy or robotics ML models (perception, tracking, prediction, or planning) and the data they consume\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;6\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Comfort working across cloud storage and compute\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;6\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Strong cross-team communication skills — you\u0026#39;ll be translating between a platform team and one or two embedded Autonomy teams on a daily basis\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;6\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;A bias toward hands-on problem solving: you\u0026#39;re as comfortable debugging a broken data pipeline as you are explaining a metric discrepancy to a model owner\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Bonus Points!\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;7\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Prior experience in a forward-deployed engineer, solutions engineer, or embedded platform role\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;7\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Hands-on experience with Camera, Lidar, Vehicle Intent, or Object Tracking models specifically\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;7\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience with simulation or replay frameworks for autonomous vehicles or robotics\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;7\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Familiarity with visualization tooling such as Foxglove, OpenGL, or Three.js\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;7\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience with large sensor data formats (MCAP, Parquet) and associated processing tools (PyArrow, Daft, Pandas)\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;7\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience with distributed compute/orchestration frameworks (Ray, Anyscale, AWS HyperPods)\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;7\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Infrastructure-as-code experience (Terraform) and CI systems (GitHub Actions)\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Work Location:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt; For this position, we are hiring Remote in the United States and Canada.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Perks of Being a Full-time Torc\u0026#39;r\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A competitive compensation package that includes a bonus component and stock options\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;401K plan with a 6% employer match\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Flexibility in schedule and generous paid vacation (available immediately after start date)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Company-wide holiday office closures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AD+D and Life Insurance\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;At Torc, we\u0026#39;re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc\u0026#39;rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Even if you don\u0026#39;t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;Job ID: R-102870\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$153,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$183,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127083002,"name":"Data Loop and Simulation","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null},{"id":4045225002,"name":"Remote - US","location":null,"child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8651349002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8821309002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6530506002,"location":{"name":"Remote - US"},"metadata":null,"id":8821309002,"updated_at":"2026-10-21T08:46:27-04:00","requisition_id":"R-102992","title":"Quality Control Engineer, HD Mapping","company_name":"Torc Robotics","first_published":"2026-09-28T15:14:05-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;About the Company\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/a\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Meet the Team:\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;You will be working with Torc\u0026#39;s map enablement team to review and conduct quality control work on high-definition map datasets used by Torc\u0026#39;s autonomous trucks. This role is responsible for auditing HD map geospatial datasets (lane geometry, road boundaries, signage, and other map features derived from LiDAR point clouds and sensor data) to ensure it meets the accuracy and completeness standards required for safe autonomous operation on highways and surface streets. You\u0026#39;ll work closely with mapping engineers, mapping vendors, and autonomy teams to catch defects before they reach the vehicle, and to turn recurring issues into process and workflow improvements.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;Torc\u0026#39;s map enablement team is looking for a quality control engineer to help deliver and scale its mapping operation for Torc\u0026#39;s commercial expansion. This individual will collaborate with engineering teams that use mapping datasets to create tailored QC workflows, turning feedback into optimized processes that scale as Torc\u0026#39;s operational mapping footprint grows.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\n\u0026lt;h3 class=\u0026quot;PDq2pG_selectionAnchorContainer\u0026quot; data-section-id=\u0026quot;1weojvn\u0026quot; data-start=\u0026quot;0\u0026quot; data-end=\u0026quot;22\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;4\u0026quot; data-end=\u0026quot;22\u0026quot;\u0026gt;What You\u0026#39;ll Do\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Review HD map geospatial data (lane geometry, road boundaries, intersections, signage, lane connectivity) against internal quality specifications and ground-truth sources\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Perform QC on map features derived from LiDAR point clouds, aerial/satellite imagery, and vehicle-collected sensor data\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify, document, and triage map defects, escalating safety-critical issues to mapping and autonomy engineering teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and refine QC metrics, sampling strategies, and audit workflows to measure and improve map accuracy at scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with mapping vendors and internal teams to communicate quality standards and drive defect resolution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyze recurring defect patterns and feed findings back into upstream map creation and annotation processes to reduce future errors\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain clear documentation of QC procedures, edge cases, and regional/route-specific map requirements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support readiness reviews for new lanes, corridors, or operational design domains (ODDs) prior to launch\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What you\u0026#39;ll need:\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in GIS, Geomatics, Geography, Surveying, Civil Engineering, Computer Science, or a related field, or equivalent practical experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;1–3 years of experience (QC Engineer I) or 3–5 years (QC Engineer II) in geospatial data QC, map production, GIS analysis, or a related quality/annotation role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with geospatial data formats (e.g., shapefiles, GeoJSON, KML) and coordinate/projection systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with GIS tools (e.g., ArcGIS, QGIS) and/or LiDAR/point cloud viewers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong attention to detail and ability to identify subtle spatial or geometric inconsistencies in large datasets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort working with large datasets and defining repeatable, data-driven QC processes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Clear written communication skills for documenting defects and QC standards for both technical and non-technical audiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work cross-functionally with engineering, operations, and third-party vendor teams\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;em\u0026gt;Additional for QC Engineer II:\u0026lt;/em\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience designing or improving QC processes/tooling from the ground up, not just executing existing checklists\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of mentoring junior reviewers or leading vendor/annotator quality calibration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience defining map quality metrics and reporting on trends to engineering stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Bonus Points:\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;HD mapping experience, particularly for autonomous vehicles or trucking\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with map representations/standards used in autonomy stacks (e.g., Lanelet2, OpenDRIVE, OpenStreetMap)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with LiDAR point cloud processing/classification tools (e.g., TerraScan, TerraSolid, LP360)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scripting experience (Python or SQL) for automating QC checks or building spatial queries (e.g., PostGIS)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with highway/interstate corridor mapping specifically (relevant to trucking ODDs)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience working with or managing outsourced/vendor annotation teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with functional safety or quality standards relevant to AV development (e.g., ISO 26262, ASPICE)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Perks of Being a Full-time Torc’r\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;p\u0026gt;Torc cares about our team\u0026amp;nbsp;members\u0026amp;nbsp;and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A competitive compensation package that includes a bonus\u0026amp;nbsp;component\u0026amp;nbsp;and stock options\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026amp;nbsp; \u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AD+D and Life Insurance\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;At Torc,\u0026amp;nbsp;we’re\u0026amp;nbsp;committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our\u0026amp;nbsp;Torc’rs\u0026amp;nbsp;and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our compensation reflects the cost of labor across several geographic markets.\u0026amp;nbsp;Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.\u0026amp;nbsp;Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan.\u0026amp;nbsp;Dependent\u0026amp;nbsp;on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job ID: 102992\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;job__pay-ranges\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$89,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$107,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127083002,"name":"Data Loop and Simulation","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4045225002,"name":"Remote - US","location":null,"child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8821309002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8606645002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6437504002,"location":{"name":"Ann Arbor, MI"},"metadata":null,"id":8606645002,"updated_at":"2026-10-01T15:50:40-04:00","requisition_id":"R-102806","title":"Senior, HR Business Partner","company_name":"Torc Robotics","first_published":"2026-06-24T15:45:43-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;About the Company\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;/span\u0026gt; \u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;/span\u0026gt;\u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Hyperlink\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/a\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026lt;/span\u0026gt; \u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Meet the Team:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt; \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;The Human Resources Business Partner partners closely with senior and executive business leaders across Torc to drive initiatives that reinforce our culture and values, support organizational change, and build scalable\u0026amp;nbsp;people\u0026amp;nbsp;practices. They contribute to company performance by providing tactical and strategic consulting on people and organization development strategies at the division or organizational level in support of business\u0026amp;nbsp;objectives. They build and\u0026amp;nbsp;maintain\u0026amp;nbsp;supportive relationships by being strategic business partners and advocates for employees.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;What\u0026amp;nbsp;you\u0026#39;ll\u0026amp;nbsp;do\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;: \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Serve as a strategic partner to all levels of management within their client group to\u0026amp;nbsp;anticipate,\u0026amp;nbsp;identify, and plan for people’s needs\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Provide strategic coaching to leaders and managers within their client group to enhance team performance and effectiveness.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Build manager capability in performance management, team dynamics, conflict resolution, feedback delivery, and employee engagement.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Develop and nurture partnerships to influence and act as a bridge between business functions, leadership, and employees.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Serve as a subject matter expert on HR policies, labor laws, and company values.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Provide guidance to managers and employees on policy interpretation and applications.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Guide leaders and employees through the talent management cycle.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Shape and lead performance management processes, including goal setting, feedback, and calibration in alignment with organizational goals\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Ensure consistency and fairness in performance evaluations and development planning.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Facilitate talent reviews and succession planning to identify and develop future leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Lead or oversee investigations into employee complaints, including harassment, discrimination, and policy violations. Document findings and outcomes and recommend appropriate actions.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Ensure consistency and fairness in the application of policies and disciplinary actions. Partner with legal or compliance teams to ensure investigations are thorough, timely, and legally sound.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Advise leaders and managers on handling sensitive employee issues (e.g., conflict resolution, performance concerns, behavioral issues). Identify ER trends and recommend proactive strategies to reduce risk and improve workplace culture.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Conduct exit interviews for key roles, high potential employees, or sensitive departures to identify root causes of turnover, cultural issues, or leadership challenges. Share actionable insights with leaders to inform people policies, strategies and improve employee experience.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Consult with managers to ensure strategic alignment, definition and execution of organization design, planning, and restructuring.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Collaborate with business leaders to forecast talent needs aligned with growth objectives and define workforce plans for assigned client bases. Support execution against workforce plans with leadership, Finance, and Talent Acquisition.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Analyze workforce data to inform hiring, retention, and organizational design strategies\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Partner with Total Rewards to ensure competitive and equitable compensation practices.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Support annual compensation cycles and provide guidance on pay decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Partner with Legal, Finance, People Operations team and Centers of Excellence, or other stakeholders to design, implement, communicate, and educate the business on projects, initiatives, and programs in alignment with organizational goals\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;What You’ll Need to Succeed:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt; \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Bachelor’s degree plus 6+ years’ experience in the human resources function OR Master’s degree plus 3+ years of experience in the human resources function,\u0026amp;nbsp;demonstrating\u0026amp;nbsp;increased levels of responsibility\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Prior Experience as HR Business Partner, HR Consultant, or HR Manager\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Proven experience in organizational development, succession planning, talent reviews, leadership coaching, compensation programs, and employee engagement.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Excellent analytical, communication, and decision-making skills\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Strong organizational and time management skills.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Ability to build trusted relationships with team members, executives, and employees at all levels.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Ability to thrive and collaborate in ambiguity and drive clarity in complex and fast paced environments.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience with HRIS systems to drive strategic HR processes, Workday preferred\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience with change management practices.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience managing employee relations, investigations, conflict resolution, and employee performance management.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Current, in-depth knowledge of legal requirements related to human resources and employee management, including workers’ compensation and federal and state employment laws.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Knowledge of federal, state, and local legal and regulatory environment for human resources practitioners.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Prior experience with HR metrics and analytics to inform, drive and influence decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Ability to maintain discretion with confidential information.\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Additional Requirement(s):\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;This position requires\u0026amp;nbsp;a minimum of\u0026amp;nbsp;3\u0026amp;nbsp;days\u0026amp;nbsp;in office\u0026amp;nbsp;presence.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Perks of Being a Full-time\u0026amp;nbsp;Torc’r\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Torc cares about our team members, and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:  \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A competitive compensation package that includes a bonus\u0026amp;nbsp;component\u0026amp;nbsp;and stock options\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;100% paid medical, dental, and vision premiums for full-time employees  \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;401K plan with a 6% employer match\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Flexibility in schedule and generous paid vacation (available immediately after start date)\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Company-wide holiday office closures\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;AD+D and Life Insurance \u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;At Torc,\u0026amp;nbsp;we’re\u0026amp;nbsp;committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our\u0026amp;nbsp;Torc’rs\u0026amp;nbsp;and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Even if you\u0026amp;nbsp;don’t\u0026amp;nbsp;meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Our compensation reflects the cost of labor across several geographic markets.\u0026amp;nbsp;Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.\u0026amp;nbsp;Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Job ID:\u0026amp;nbsp;102806\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$136,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$163,400 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127183002,"name":"Global Talent Management","child_ids":[],"parent_id":4127180002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8606645002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8624907002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6444476002,"location":{"name":"Remote, U.S, Ann Arbor, MI, Fort Worth, TX, Blacksburg, VA"},"metadata":null,"id":8624907002,"updated_at":"2026-10-01T15:50:40-04:00","requisition_id":"R-102824","title":"Senior, Machine Learning Engineer - 3D Perception","company_name":"Torc Robotics","first_published":"2026-07-21T09:18:20-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Company\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/a\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;PDq2pG_selectionAnchorContainer\u0026quot; data-section-id=\u0026quot;1xu56s8\u0026quot; data-start=\u0026quot;313\u0026quot; data-end=\u0026quot;329\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Meet the Team\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Torc\u0026#39;s Multi-Modal Perception team is responsible for developing the machine learning systems that enable our autonomous trucks to perceive and understand the world around them. By combining information from cameras, LiDAR, and other sensor modalities, the team builds production-ready perception capabilities that provide the foundation for safe, reliable autonomous driving.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Machine Learning Engineer – 3D Perception, you\u0026#39;ll join a collaborative team of machine learning engineers and researchers focused on solving complex real-world perception challenges. This role is primarily focused on advancing our Bird\u0026#39;s Eye View (BEV) perception capabilities, developing production machine learning solutions that improve environmental understanding, model robustness, and system performance across Torc\u0026#39;s autonomy stack.\u0026lt;/p\u0026gt;\n\u0026lt;p data-section-id=\u0026quot;11vcmyo\u0026quot; data-start=\u0026quot;1172\u0026quot; data-end=\u0026quot;1189\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Do\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul data-start=\u0026quot;1191\u0026quot; data-end=\u0026quot;2293\u0026quot;\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;1dxs1zl\u0026quot; data-start=\u0026quot;1191\u0026quot; data-end=\u0026quot;1293\u0026quot;\u0026gt;Design, develop, and deploy production machine learning models supporting Torc\u0026#39;s perception systems.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;1m9x7mv\u0026quot; data-start=\u0026quot;1294\u0026quot; data-end=\u0026quot;1435\u0026quot;\u0026gt;Own end-to-end model development for scoped perception problem areas, from data preparation and training through evaluation and deployment.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;ainqq9\u0026quot; data-start=\u0026quot;1436\u0026quot; data-end=\u0026quot;1537\u0026quot;\u0026gt;Write production-quality ML code to support scalable training, evaluation, and inference workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;qa92j7\u0026quot; data-start=\u0026quot;1538\u0026quot; data-end=\u0026quot;1691\u0026quot;\u0026gt;Analyze model performance, identify failure modes, and iterate to improve robustness, accuracy, and generalization across diverse driving environments.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;vxqjll\u0026quot; data-start=\u0026quot;1692\u0026quot; data-end=\u0026quot;1828\u0026quot;\u0026gt;Develop and optimize perception models leveraging multi-modal sensor data, with an emphasis on camera-based and 3D perception systems.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;1ki9yzm\u0026quot; data-start=\u0026quot;1829\u0026quot; data-end=\u0026quot;1978\u0026quot;\u0026gt;Collaborate with software engineers, infrastructure teams, and autonomy engineers to integrate perception models into production autonomy software.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;fq0o1j\u0026quot; data-start=\u0026quot;1979\u0026quot; data-end=\u0026quot;2100\u0026quot;\u0026gt;Support improvements to training pipelines, data workflows, and tooling that accelerate model iteration and deployment.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;1ru227w\u0026quot; data-start=\u0026quot;2101\u0026quot; data-end=\u0026quot;2194\u0026quot;\u0026gt;Contribute to model architecture discussions and technical decision-making within the team.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;17yke3\u0026quot; data-start=\u0026quot;2195\u0026quot; data-end=\u0026quot;2293\u0026quot;\u0026gt;Mentor junior engineers on implementation, experimentation, and machine learning best practices.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-section-id=\u0026quot;pxq0hk\u0026quot; data-start=\u0026quot;2300\u0026quot; data-end=\u0026quot;2330\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul data-start=\u0026quot;2332\u0026quot; data-end=\u0026quot;3404\u0026quot;\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;2c3kks\u0026quot; data-start=\u0026quot;2332\u0026quot; data-end=\u0026quot;2575\u0026quot;\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 6+ years of industry experience, OR Master\u0026#39;s degree with 3+ years, OR Ph.D. with 1+ years of experience.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;1kxxkoi\u0026quot; data-start=\u0026quot;2576\u0026quot; data-end=\u0026quot;2700\u0026quot;\u0026gt;Experience developing production machine learning models for computer vision, perception, robotics, or autonomous systems.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;zv5by2\u0026quot; data-start=\u0026quot;2701\u0026quot; data-end=\u0026quot;2807\u0026quot;\u0026gt;Strong programming skills in Python and PyTorch, with experience writing production-quality ML code.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;k5oiu9\u0026quot; data-start=\u0026quot;2808\u0026quot; data-end=\u0026quot;2905\u0026quot;\u0026gt;Experience training, evaluating, and improving deep learning models using large-scale datasets.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;1r127ud\u0026quot; data-start=\u0026quot;2906\u0026quot; data-end=\u0026quot;2973\u0026quot;\u0026gt;Experience working with image-based and/or 3D perception systems.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;dw7526\u0026quot; data-start=\u0026quot;2974\u0026quot; data-end=\u0026quot;3070\u0026quot;\u0026gt;Strong understanding of deep learning architectures commonly used for perception applications.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;11qqk7c\u0026quot; data-start=\u0026quot;3071\u0026quot; data-end=\u0026quot;3173\u0026quot;\u0026gt;Experience debugging model behavior, analyzing performance metrics, and improving model reliability.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;h0x2h7\u0026quot; data-start=\u0026quot;3174\u0026quot; data-end=\u0026quot;3305\u0026quot;\u0026gt;Ability to translate ambiguous perception challenges into practical machine learning solutions and deliver results independently.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;p18icp\u0026quot; data-start=\u0026quot;3306\u0026quot; data-end=\u0026quot;3404\u0026quot;\u0026gt;Experience collaborating cross-functionally to integrate ML models into larger software systems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-section-id=\u0026quot;1g1uqgv\u0026quot; data-start=\u0026quot;3411\u0026quot; data-end=\u0026quot;3426\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Bonus Points\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul data-start=\u0026quot;3428\u0026quot; data-end=\u0026quot;4135\u0026quot;\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;wiv2ca\u0026quot; data-start=\u0026quot;3428\u0026quot; data-end=\u0026quot;3506\u0026quot;\u0026gt;Experience developing perception systems for autonomous driving or robotics.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;19l22xs\u0026quot; data-start=\u0026quot;3507\u0026quot; data-end=\u0026quot;3605\u0026quot;\u0026gt;Experience with LiDAR, point cloud processing, sensor fusion, or other 3D perception techniques.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;8xa1xv\u0026quot; data-start=\u0026quot;3606\u0026quot; data-end=\u0026quot;3675\u0026quot;\u0026gt;Experience with temporal perception models or video-based learning.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;1uufedn\u0026quot; data-start=\u0026quot;3676\u0026quot; data-end=\u0026quot;3737\u0026quot;\u0026gt;Experience with C++, ROS, or robotics software development.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;s8haev\u0026quot; data-start=\u0026quot;3738\u0026quot; data-end=\u0026quot;3832\u0026quot;\u0026gt;Experience deploying machine learning models into production autonomy or robotics platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;15ta1r5\u0026quot; data-start=\u0026quot;3833\u0026quot; data-end=\u0026quot;3929\u0026quot;\u0026gt;Experience working with large-scale perception datasets and distributed training environments.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;op7fj5\u0026quot; data-start=\u0026quot;3930\u0026quot; data-end=\u0026quot;4030\u0026quot;\u0026gt;Familiarity with perception evaluation frameworks, model validation, and performance benchmarking.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;m4ugda\u0026quot; data-start=\u0026quot;4031\u0026quot; data-end=\u0026quot;4135\u0026quot;\u0026gt;Experience improving ML tooling, infrastructure, or developer workflows to accelerate model iteration.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Work Location: \u0026lt;/strong\u0026gt;For this position, we are open to hiring in Ann Arbor, MI, Blacksburg, VA, Fort Worth, TX office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Perks of Being a Full-time Torc’r\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Torc cares about our team\u0026amp;nbsp;members\u0026amp;nbsp;and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A competitive compensation package that includes a bonus\u0026amp;nbsp;component\u0026amp;nbsp;and stock options\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026amp;nbsp; \u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AD+D and Life Insurance\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;At Torc,\u0026amp;nbsp;we’re\u0026amp;nbsp;committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our\u0026amp;nbsp;Torc’rs\u0026amp;nbsp;and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our compensation reflects the cost of labor across several geographic markets.\u0026amp;nbsp;Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.\u0026amp;nbsp;Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan.\u0026amp;nbsp;Dependent\u0026amp;nbsp;on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job ID: 102824\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$177,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$212,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127082002,"name":"Autonomy","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8624907002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8765533002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6506745002,"location":{"name":"Remote - U.S"},"metadata":null,"id":8765533002,"updated_at":"2026-10-01T15:50:40-04:00","requisition_id":"R-102952","title":"Senior, Machine Learning Engineer - Camera Model","company_name":"Torc Robotics","first_published":"2026-09-21T15:02:09-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;About the Company\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;/span\u0026gt;\u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Hyperlink\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/a\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Meet the Team\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;As a Senior Machine Learning Engineer – Camera Models, you will develop and deploy machine learning models that power camera-based perception for autonomous trucks. The Camera Models team builds and maintains core vision systems that enable the autonomy stack to understand the environment, detect and localize objects, and estimate scene structure from camera data.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Working closely with teams across perception, data, and infrastructure, you will own the development and improvement of robust, scalable camera-based models that support safe and reliable autonomous driving in real-world freight environments.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;This role focuses on owning model development for scoped problem areas, improving system performance through iteration, and delivering production-ready machine learning solutions within the autonomy stack.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;What You’ll Do\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:60,\u0026amp;quot;335559739\u0026amp;quot;:60}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Design, develop, and deploy deep learning models for camera-based perception (e.g., object detection, segmentation, depth estimation, scene understanding)\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Own end-to-end model development for scoped areas, from data curation and training to evaluation and deployment\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Write production-quality ML code to support scalable training, evaluation, and inference pipelines\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Analyze model performance across diverse driving scenarios, identify failure modes, and improve robustness and generalization\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Contribute to and improve large-scale training pipelines, including dataset preparation, distributed training, and experiment tracking\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Partner with data teams to improve dataset quality, including labeling strategies and coverage of edge cases\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Collaborate with perception, simulation, and validation teams to evaluate and integrate models into the autonomy stack\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Improve tooling, workflows, and infrastructure to accelerate experimentation and model iteration\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Contribute to model architecture decisions and technical discussions within the team\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Mentor junior engineers on implementation, debugging, and best practices\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;What You’ll Need to Succeed\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:60,\u0026amp;quot;335559739\u0026amp;quot;:60}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 6+ years of industry experience, OR Master’s degree with 3+ years OR PhD with 1+ years of experience\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience developing and deploying deep learning models for computer vision or perception systems\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Strong programming skills in Python and PyTorch, with experience writing production-quality ML code\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience training and evaluating models using large-scale datasets and distributed compute environments\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Solid understanding of modern deep learning architectures used in perception (e.g., CNNs, transformers, multi-task models)\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience debugging model behavior, analyzing performance metrics, and improving model reliability\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Ability to translate ambiguous problems into structured ML solutions and deliver independently\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience collaborating cross-functionally to integrate ML models into larger autonomy or robotics systems\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Bonus Points:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:60,\u0026amp;quot;335559739\u0026amp;quot;:60}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Experience in autonomous driving, robotics, or simulation-based ML systems\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience with multi-task learning or unified perception architectures\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience with large-scale data pipelines, distributed training systems (e.g., Ray), or experiment management frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Familiarity with camera calibration, geometric reasoning, or 3D perception from images (e.g., BEV, monocular depth, structure-from-motion)\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience deploying ML models into production or real-world robotics systems\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Work Location: \u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;For this position, we are open to hiring in either the Ann Arbor, MI OR Blacksburg, VA (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Perks of Being a Full-time Torc’r\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;A competitive compensation package that includes a bonus component and stock options \u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;401K plan with a 6% employer match\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Flexibility in schedule and generous paid vacation (available immediately after start date)\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Company-wide holiday office closures\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;AD+D and Life Insurance\u0026amp;nbsp;\u0026amp;nbsp; \u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:60,\u0026amp;quot;335559739\u0026amp;quot;:60}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Job ID:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:60,\u0026amp;quot;335559739\u0026amp;quot;:60}\u0026quot;\u0026gt; 102952\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$177,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$212,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127082002,"name":"Autonomy","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4045225002,"name":"Remote - US","location":null,"child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8765533002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8827921002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6506745002,"location":{"name":"Remote - Canada, Montreal, Canada"},"metadata":null,"id":8827921002,"updated_at":"2026-10-01T15:50:40-04:00","requisition_id":"R-102952","title":"Senior, Machine Learning Engineer - Camera Model","company_name":"Torc Robotics","first_published":"2026-09-21T16:37:00-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;About the Company\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;/span\u0026gt;\u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Hyperlink\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/a\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Meet the Team\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;As a Senior Machine Learning Engineer – Camera Models, you will develop and deploy machine learning models that power camera-based perception for autonomous trucks. The Camera Models team builds and maintains core vision systems that enable the autonomy stack to understand the environment, detect and localize objects, and estimate scene structure from camera data.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Working closely with teams across perception, data, and infrastructure, you will own the development and improvement of robust, scalable camera-based models that support safe and reliable autonomous driving in real-world freight environments.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;This role focuses on owning model development for scoped problem areas, improving system performance through iteration, and delivering production-ready machine learning solutions within the autonomy stack.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;What You’ll Do\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:60,\u0026amp;quot;335559739\u0026amp;quot;:60}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Design, develop, and deploy deep learning models for camera-based perception (e.g., object detection, segmentation, depth estimation, scene understanding)\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Own end-to-end model development for scoped areas, from data curation and training to evaluation and deployment\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Write production-quality ML code to support scalable training, evaluation, and inference pipelines\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Analyze model performance across diverse driving scenarios, identify failure modes, and improve robustness and generalization\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Contribute to and improve large-scale training pipelines, including dataset preparation, distributed training, and experiment tracking\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Partner with data teams to improve dataset quality, including labeling strategies and coverage of edge cases\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Collaborate with perception, simulation, and validation teams to evaluate and integrate models into the autonomy stack\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Improve tooling, workflows, and infrastructure to accelerate experimentation and model iteration\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Contribute to model architecture decisions and technical discussions within the team\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Mentor junior engineers on implementation, debugging, and best practices\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;What You’ll Need to Succeed\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:60,\u0026amp;quot;335559739\u0026amp;quot;:60}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 6+ years of industry experience, OR Master’s degree with 3+ years OR PhD with 1+ years of experience\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience developing and deploying deep learning models for computer vision or perception systems\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Strong programming skills in Python and PyTorch, with experience writing production-quality ML code\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience training and evaluating models using large-scale datasets and distributed compute environments\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Solid understanding of modern deep learning architectures used in perception (e.g., CNNs, transformers, multi-task models)\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience debugging model behavior, analyzing performance metrics, and improving model reliability\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Ability to translate ambiguous problems into structured ML solutions and deliver independently\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience collaborating cross-functionally to integrate ML models into larger autonomy or robotics systems\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:60,\u0026amp;quot;335559739\u0026amp;quot;:60}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Bonus Points:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:60,\u0026amp;quot;335559739\u0026amp;quot;:60}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Experience in autonomous driving, robotics, or simulation-based ML systems\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience with multi-task learning or unified perception architectures\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience with large-scale data pipelines, distributed training systems (e.g., Ray), or experiment management frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Familiarity with camera calibration, geometric reasoning, or 3D perception from images (e.g., BEV, monocular depth, structure-from-motion)\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience deploying ML models into production or real-world robotics systems\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Work Location: \u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;For this position, we are open to hiring in Montreal, Canada or remote within Canada\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;Perks of Being a Full-time Torc’r (Canada)\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A competitive compensation package that includes a bonus component and stock options\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Medical, dental, and vision for full-time employees\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;RRSP plan with a 6% employer match\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Public Transit Subsidy (Montreal area only)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Flexibility in schedule and generous paid vacation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Company-wide holiday office closures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Life Insurance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Job ID:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:60,\u0026amp;quot;335559739\u0026amp;quot;:60}\u0026quot;\u0026gt; 102952\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:60,\u0026amp;quot;335559739\u0026amp;quot;:60}\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Salary Range:\u0026lt;/strong\u0026gt; $168,000-$193,000 CAD\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4127082002,"name":"Autonomy","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4045225002,"name":"Remote - US","location":null,"child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8827921002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8695204002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6474260002,"location":{"name":"Remote - U.S, Ann Arbor, MI"},"metadata":null,"id":8695204002,"updated_at":"2026-10-01T15:50:40-04:00","requisition_id":"R-102894","title":"Senior Machine Learning Engineer - Localization","company_name":"Torc Robotics","first_published":"2026-09-01T16:42:53-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Company\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/a\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;Meet the Team\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134245418\u0026amp;quot;:true,\u0026amp;quot;134245529\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:160,\u0026amp;quot;335559739\u0026amp;quot;:80,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Accurate and highly available information about vehicle motion and position is fundamental to the safe operation of autonomous trucks. Core capabilities such as perception, prediction, planning, and control depend on reliable ego-motion and localization estimates to ensure safe and efficient vehicle behavior.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335551550\u0026amp;quot;:6,\u0026amp;quot;335551620\u0026amp;quot;:6,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;The Ego-Motion \u0026amp;amp; Localization Team develops the ML models, state estimation algorithms, and production software responsible for estimating vehicle pose, velocity, and acceleration in real time. Our solutions fuse information from multiple sensors and maintain robust performance despite sensor imperfections, environmental challenges, and system degradation. As part of this team, you will develop and deploy production-ready localization and sensor fusion solutions and help solve the challenges of bringing autonomous vehicle technology to real-world commercial applications.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335551550\u0026amp;quot;:6,\u0026amp;quot;335551620\u0026amp;quot;:6,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;What You\u0026#39;ll Do\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134245418\u0026amp;quot;:true,\u0026amp;quot;134245529\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:160,\u0026amp;quot;335559739\u0026amp;quot;:80,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Design, develop, and deploy production ML models for ego-motion estimation and localization, including learned pose estimation, sensor extrinsic calibration, map matching, and sensor fusion using camera, LiDAR, radar, and other vehicle sensors.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:279}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Develop scalable training and evaluation workflows using PyTorch, distributed training infrastructure, and large-scale real-world datasets.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:279}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Design and improve state estimation and sensor fusion algorithms for robust vehicle pose, velocity, and acceleration estimation.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:279}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Analyze large-scale vehicle data to characterize performance, identify failure modes, and drive model and system improvements.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:279}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Develop robust, efficient production software in modern C++ and Python across the full development lifecycle.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:279}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;6\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Define evaluation, verification, and validation strategies to ensure localization quality, robustness, and safety across diverse operating conditions.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:279}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;7\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Make technical design and architecture decisions, balancing model performance, computational efficiency, robustness, and production constraints.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:279}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;8\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Collaborate with perception, mapping, planning, controls, and platform teams to deliver integrated autonomous driving capabilities.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:279}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;9\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Provide technical leadership through design reviews, code reviews, mentoring, and development of engineering best practices.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:279}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134245418\u0026amp;quot;:true,\u0026amp;quot;134245529\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:160,\u0026amp;quot;335559739\u0026amp;quot;:80,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134245418\u0026amp;quot;:true,\u0026amp;quot;134245529\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:160,\u0026amp;quot;335559739\u0026amp;quot;:80,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;10\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Bachelor’s degree in Computer Science, Software Engineering, Robotics, or a related field with 6+ years of relevant industry experience, or a Master’s degree with 3+ years of relevant industry experience, or a PhD with 1+ year of relevant industry experience.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;11\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience with AV or robotics localization systems (e.g., LiDAR-based localization, visual odometry, SLAM, or map-based pose estimation).\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:279}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;12\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Strong experience developing and deploying ML models for perception, localization, or sensor fusion domains.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:279}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;13\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Proficiency with PyTorch and modern ML tooling for training, inference, and optimization.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:279}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;14\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Solid understanding of 3D geometry, probabilistic estimation, coordinate transforms, and robotics fundamentals.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:279}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;15\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Demonstrated ability to work with large multimodal datasets and build scalable pipelines for processing, labeling, and evaluation.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:279}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;16\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Strong software engineering fundamentals in Python and C++, including algorithms, data structures, testing, debugging, and performance optimization.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:279}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;17\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Strong written and verbal communication skills and the ability to work effectively on cross-functional teams.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:279}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;Bonus Points\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134245418\u0026amp;quot;:true,\u0026amp;quot;134245529\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:160,\u0026amp;quot;335559739\u0026amp;quot;:80,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;18\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience with state estimation techniques such as factor graphs, Kalman filtering, nonlinear optimization, or related probabilistic estimation methods.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:279}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;19\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Familiarity with distributed computing tools such as Ray, Kubernetes, or similar orchestration frameworks.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:279}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;20\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Knowledge of embedded and real-time constraints for on-vehicle deployment.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:279}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;21\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience in simulation, synthetic data generation, and uncertainty-aware ML modeling.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:279}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;22\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Contributions to open-source robotics, perception, or ML frameworks.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:279}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Familiarity with functional safety standards and automotive development processes, including ISO 26262.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Work Location: \u0026lt;/strong\u0026gt;For this position, we are open to hiring in Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Perks of Being a Full-time Torc’r\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Torc cares about our team\u0026amp;nbsp;members\u0026amp;nbsp;and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A competitive compensation package that includes a bonus\u0026amp;nbsp;component\u0026amp;nbsp;and stock options\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026amp;nbsp; \u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AD+D and Life Insurance\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;At Torc,\u0026amp;nbsp;we’re\u0026amp;nbsp;committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our\u0026amp;nbsp;Torc’rs\u0026amp;nbsp;and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our compensation reflects the cost of labor across several geographic markets.\u0026amp;nbsp;Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.\u0026amp;nbsp;Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan.\u0026amp;nbsp;Dependent\u0026amp;nbsp;on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job ID:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;102894\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$177,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$212,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127082002,"name":"Autonomy","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8695204002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8304659002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6315233002,"location":{"name":"Remote - US, Ann Arbor, MI"},"metadata":null,"id":8304659002,"updated_at":"2026-10-01T15:50:40-04:00","requisition_id":"R-102399","title":"Senior, ML Engineer - 3D Reconstruction","company_name":"Torc Robotics","first_published":"2025-11-25T14:30:07-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;About the Company\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;/span\u0026gt; \u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;/span\u0026gt;\u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Hyperlink\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/a\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Meet The Team: \u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Pseudo-Labeling team\u0026#39;s goal is to create high-quality annotations on sensor data (images, point clouds). The annotations include 2D, 3D bounding boxes, classes, trajectories, lane lines, segmentations, depths, and high-definition map elements. The annotations are then used by different downstream users — for example, perception teams use them to train various models, mapping teams use them to build and maintain HD maps, and simulation teams use them for generating new data. This role owns the hardest problems in the team\u0026#39;s lane line and mapping stack and is expected to set technical direction across lane line reconstruction, map creation, and pose accuracy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;What You’ll Do:\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the design, implementation, and deployment of offline 3D reconstruction, lane line detection, and automatic mapping/map creation systems that generate high-quality annotations on Cloud Services from logged sensor data (Cameras, Lidars, Radars, GPS/IMU).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead lane line network reconstruction efforts, rebuilding topologically correct lane line graphs from noisy, partial, or conflicting detections across drives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design, train, and iterate on lane line detection and creation models, pushing state-of-the-art performance and driving model architecture and training strategy decisions for the team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop methods for creating lane line maps in previously unmapped areas, and for detecting and propagating map updates as road geometry changes over time.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own pose correction for sensor data, and lead the diagnosis and mitigation of calibration and sensor errors (extrinsic/intrinsic miscalibration, drift, noise) that degrade reconstruction and mapping quality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Set technical direction and best practices for the team\u0026#39;s lane line, mapping, and pose estimation pipelines, and lead architecture decisions with cross-team impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as technical lead on high-complexity projects, guiding and mentoring other engineers across multiple facets of project execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stay ahead of the latest developments in AI and ML for autonomous driving, 3D reconstruction, and automated mapping, and bring emerging techniques into production.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Independently develop offline perception and mapping models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control, and maintaining documentation of created applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proactively assess current capabilities to identify areas for improvement, proposing solutions that align with core strategy and operation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Measure and track auto-labeling and map creation quality to meet internal customer requirements, including quantifying the impact of pose and calibration error on downstream quality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Guide and produce information products, supporting visualization and data accessibility in a customer-centric manner.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide technical guidance, technical leadership, coaching and mentoring to team members.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;What You’ll Need to Succeed:\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Considered an expert and highly skilled in discipline; conducts highly complex, important work independently with minimal to no supervision and broad latitude for independent judgment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scope of Influence: Expected to drive alignment across team and organizational boundaries. Sets technical direction, owns team technical solutions end-to-end, and is looked to as the authority for lane line, mapping, and pose estimation problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentors and guides engineers within and beyond the group.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrated competencies and technical proficiencies typically acquired through 6+ years of experience OR;\u0026amp;nbsp;Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrated competencies and technical proficiencies typically acquired through 3+ years of experience OR;\u0026amp;nbsp;PhD in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrated competencies and technical proficiencies typically acquired through 1+ years of experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Required Qualifications (some combination of the following skills):\u0026lt;/strong\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong, demonstrated background in lane line detection and creation, including hands-on experience with lane line network reconstruction and training lane line creation models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience creating lane line maps for previously unmapped areas, and handling ongoing map updates as road conditions and geometry change.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong background in pose correction, with direct experience diagnosing and correcting calibration and sensor errors across camera, lidar, radar, and GPS/IMU systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Active Learning \u0026amp;amp; Pseudo-labeling – Computer Vision, Deep Learning, Model training at an advanced level.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Two or more of the following at depth: 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, SLAM, BEV.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scaled ML Operations (MLOps) and Tooling – ML Frameworks, experiment tracking, model registry, MLflow, Weights and Biases, ML Metrics and Evaluation / Quality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Distributed machine learning frameworks – PyTorch, Lightning, Ray.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Model Data Curation – Parquet data processing (PyArrow, Daft, Pandas, etc).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Development Tools \u0026amp;amp; Eco-System (at scale) – Advanced proficiency in Python software development. Also, VDI and cloud-based development environments, CI Systems (GitHub Actions), and Docker.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Bonus Points!\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PPK/RTK (Post-Processed Kinematic / Real-Time Kinematic) GPS experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;GIS (Geographic Information Systems) experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Perks of Being a Full-time Torc’r\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A competitive compensation package that includes a bonus component and stock options\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;401K plan with a 6% employer match\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Flexibility in schedule and generous paid vacation (available immediately after start date)\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;AD+D and Life Insurance\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW128126115 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW128126115 BCX0\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW190627344 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW190627344 BCX0\u0026quot;\u0026gt;At Torc, \u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW190627344 BCX0\u0026quot;\u0026gt;we’re\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW190627344 BCX0\u0026quot;\u0026gt; committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our \u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SpellingErrorV2Themed SCXW190627344 BCX0\u0026quot;\u0026gt;Torc’rs\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW190627344 BCX0\u0026quot;\u0026gt; and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;LineBreakBlob BlobObject DragDrop SCXW190627344 BCX0\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;SCXW190627344 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;br class=\u0026quot;SCXW190627344 BCX0\u0026quot;\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW190627344 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW190627344 BCX0\u0026quot;\u0026gt;Even if you \u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW190627344 BCX0\u0026quot;\u0026gt;don’t\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW190627344 BCX0\u0026quot;\u0026gt; meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;EOP SCXW190627344 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW128126115 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW128126115 BCX0\u0026quot;\u0026gt;Our compensation reflects the cost of labor across several geographic markets.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW128126115 BCX0\u0026quot;\u0026gt;Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW128126115 BCX0\u0026quot;\u0026gt; Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan. \u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW128126115 BCX0\u0026quot;\u0026gt;Dependent\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW128126115 BCX0\u0026quot;\u0026gt; on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;EOP SCXW128126115 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;EOP SCXW128126115 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;Hiring Range for Job Opening\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;EOP SCXW128126115 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;US Pay Range\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;$199,200\u0026amp;nbsp;- $298,800\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;Job ID: 102399\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4127083002,"name":"Data Loop and Simulation","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null},{"id":4057592002,"name":"Montreal","location":"Montreal, Quebec, Canada","child_ids":[],"parent_id":null},{"id":4057591002,"name":"Remote - Canada","location":null,"child_ids":[],"parent_id":null},{"id":4045225002,"name":"Remote - US","location":null,"child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8304659002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8554970002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6417106002,"location":{"name":"Ann Arbor, MI, Remote - US"},"metadata":null,"id":8554970002,"updated_at":"2026-10-01T16:29:05-04:00","requisition_id":"R-102717","title":"Senior, ML Engineer - Auto Tagging","company_name":"Torc Robotics","first_published":"2026-05-20T16:52:45-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;About the Company\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:150}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. \u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;/span\u0026gt;\u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Hyperlink\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/a\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight. J\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;oin us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026amp;nbsp; \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:150}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Meet The Team:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:150}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;The Auto Tagger team is the engine behind our data flywheel, responsible for translating petabytes of raw, multi-modal vehicle data into a highly curated library of critical driving scenarios. By mining driving logs for long-tail events, we provide the foundational data\u0026amp;nbsp;required\u0026amp;nbsp;for safe autonomous trucking. Leveraging Pegasus logical layers, this team structures and catalogs findings into an observations database that directly accelerates development across autonomous\u0026amp;nbsp;perception, sensor fusion, and generative simulation testing.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:150}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;What You\u0026#39;ll Do:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:150}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;8\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Scenario Mining at Scale:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026amp;nbsp;Architect and\u0026amp;nbsp;optimize\u0026amp;nbsp;distributed data pipelines to process massive multi-sensor logs (camera, LiDAR, radar, kinematics), automatically extracting and cataloging safety-critical and long-tail driving events.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;8\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Advanced Event Tagging:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026amp;nbsp;Develop and tune both heuristic-based and ML-assisted algorithms (including exploring Vision-Language Models or semantic vector search) to automatically classify\u0026amp;nbsp;and describe\u0026amp;nbsp;complex environmental and behavioral scenarios.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;8\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Standardized Data Structuring:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026amp;nbsp;Extract and format scenario data\u0026amp;nbsp;utilizing\u0026amp;nbsp;the Pegasus layer standard (alongside\u0026amp;nbsp;opensource\u0026amp;nbsp;frameworks)\u0026amp;nbsp;to ensure semantic consistency and rigorous metadata integrity.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;8\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Data Flywheel Integration:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026amp;nbsp;Manage the ingestion of tagged events into the observations database, enabling high-speed querying and retrieval for ML training, regression testing, and system validation.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;8\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Cross-Functional Alignment:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026amp;nbsp;Operate\u0026amp;nbsp;with broad autonomy to drive consensus across organizational boundaries. Collaborate closely with downstream consumers in\u0026amp;nbsp;perception, simulation, and systems engineering to define what constitutes an \u0026quot;interesting scenario\u0026quot; and operationalize a continuous data loop.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;8\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Mentorship \u0026amp;amp; Team Growth:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026amp;nbsp;Guide, mentor, and elevate less-experienced engineers. Lead design reviews,\u0026amp;nbsp;establish\u0026amp;nbsp;coding standards, and foster a culture of technical excellence and collaborative problem-solving.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;What You\u0026#39;ll Need to Succeed:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:150}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrated competencies and technical proficiencies typically acquired through 6+ years of experience OR;\u0026amp;nbsp;Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrated competencies and technical proficiencies typically acquired through 3+ years of experience OR; PhD in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrated competencies and technical proficiencies typically acquired through 1+ years of experience.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;9\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Core Languages:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026amp;nbsp;Strong Python and SQL skills, with heavy experience processing massive time-series or unstructured datasets.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;9\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;ML \u0026amp;amp; Dataset Curation:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026amp;nbsp;Hands-on machine learning and dataset curation experience, with a demonstrated history of implementing targeted datasets that measurably improve downstream model performance.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;9\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Data Exploration:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026amp;nbsp;Hands-on experience using Databricks (or similar platforms) for large-scale analytics, interactive querying, and making massive vehicle datasets searchable.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;9\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Cloud \u0026amp;amp; Compute:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026amp;nbsp;Expertise\u0026amp;nbsp;in distributed compute frameworks (Ray, Spark, Beam) and cloud platforms (AWS, GCP, or Azure) for executing heavy data workloads.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;9\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;AV Standards:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026amp;nbsp;Experience parsing complex data formats and applying scenario-description standards like Pegasus layers.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;9\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Communication:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026amp;nbsp;Exceptional ability to translate complex data engineering challenges into clear strategies for cross-functional stakeholders.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;9\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Technical Leadership:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026amp;nbsp;Proven\u0026amp;nbsp;track record\u0026amp;nbsp;of mentoring teams, driving system architecture, and defining engineering roadmaps.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Bonus Points!\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:150}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;10\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Auto-labeling \u0026amp;amp; VLMs:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026amp;nbsp;Familiarity with foundational models, auto-labeling pipelines, or zero-shot classification for scenario extraction.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;10\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Model Serving:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026amp;nbsp;Experience with\u0026amp;nbsp;vLLM,\u0026amp;nbsp;SGLang, or similar frameworks for highly optimized, high-throughput model serving and inference\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;10\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Semantic Inference:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026amp;nbsp;Experience with semantic extraction and attribute mapping to help\u0026amp;nbsp;build out\u0026amp;nbsp;a robust semantic inference engine, moving beyond standard bounding-box object detection.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;10\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Data Tooling:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026amp;nbsp;Familiarity with parsing robotics formats (ROS bags, MCAP) and\u0026amp;nbsp;optimizing\u0026amp;nbsp;high-performance columnar storage formats (Parquet, Arrow).\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;10\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Downstream Integration:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026amp;nbsp;Knowledge of how scenario data feeds into generative simulation workflows, neural rendering, or sensor fusion validation.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;10\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Advanced Retrieval:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026amp;nbsp;Experience building semantic retrieval systems or vector databases for automotive data.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Perks of Being a\u0026amp;nbsp;Torc’r\u0026lt;/strong\u0026gt;  \u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Torc cares about our team\u0026amp;nbsp;members\u0026amp;nbsp;and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:  \u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A competitive compensation package that includes a bonus\u0026amp;nbsp;component\u0026amp;nbsp;and stock options\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;100% paid medical, dental, and vision premiums for full-time employees  \u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;401K plan with a 6% employer match\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Flexibility in schedule and generous paid vacation (available immediately\u0026amp;nbsp;after start date)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Company-wide holiday office closures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AD+D and Life Insurance \u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. \u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Our compensation reflects the cost of labor across several geographic markets.\u0026amp;nbsp;Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.\u0026amp;nbsp;Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233279\u0026amp;quot;:true,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job ID:\u0026lt;/strong\u0026gt; R-102717\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$177,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$212,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127083002,"name":"Data Loop and Simulation","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null},{"id":4045225002,"name":"Remote - US","location":null,"child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8554970002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8765541002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6506749002,"location":{"name":"Remote - US"},"metadata":null,"id":8765541002,"updated_at":"2026-10-15T16:04:24-04:00","requisition_id":"R-102957","title":"Senior, ML Engineer - Tracking","company_name":"Torc Robotics","first_published":"2026-10-06T09:58:16-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;About the Company\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;/span\u0026gt;\u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Hyperlink\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/a\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Meet the Team\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Accurate and highly available information about other actors and objects is fundamental to the safe operation of autonomous trucks. Core capabilities depend on accurate tracking estimates to ensure safe and efficient vehicle behavior.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;The Tracking Team develops the ML models, state estimation algorithms, and production software responsible for associating and estimating the kinematics of other actors and objects in real time. Our solutions fuse information from multiple sensors and maintain robust performance despite sensor imperfections, environmental challenges, and system degradation. As part of this team, you will develop and deploy production-ready tracking solutions and help solve the challenges of bringing autonomous vehicle technology to real-world commercial applications.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;What You\u0026#39;ll Do\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Design, develop, and deploy production ML models for multi-object tracking, including association, learned pose and kinematic estimation, and sensor fusion using camera, LiDAR, radar, and other vehicle sensors. \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Develop scalable training and evaluation workflows using PyTorch, distributed training infrastructure, and large-scale real-world datasets. \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Design and improve tracking and sensor fusion algorithms for robust vehicle pose and kinematics\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Analyze large-scale vehicle data to characterize performance, identify failure modes, and drive model and system improvements. \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Develop robust, efficient production software in modern C++ and Python across the full development lifecycle. \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;6\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Define evaluation, verification, and validation strategies to ensure Tracking quality, robustness, and safety across diverse operating conditions. \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;7\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Make technical design and architecture decisions, balancing model performance, computational efficiency, robustness, and production constraints. \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;8\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Collaborate with perception, mapping, planning, controls, and platform teams to deliver integrated autonomous driving capabilities. \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;9\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Provide technical leadership through design reviews, code reviews, mentoring, and development of engineering best practices. \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;What You\u0026#39;ll Need to Succeed\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Bachelor’s degree in Computer Science, Software Engineering, Robotics, or a related field with 6+ years of relevant industry experience, or a Master’s degree with 3+ years of relevant industry experience, or a PhD with 1+ year of relevant industry experience. \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Experience with AV or robotics perception systems (tracking, detection, SLAM, scene modeling, ect.). \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Strong experience developing and deploying ML models for perception, localization, or sensor fusion domains.\u0026amp;nbsp; \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Proficiency with PyTorch and modern ML tooling for training, inference, and optimization.\u0026amp;nbsp; \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Solid understanding of 3D geometry, probabilistic estimation, coordinate transforms, and robotics fundamentals.\u0026amp;nbsp; \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;6\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Demonstrated ability to work with large multimodal datasets and build scalable pipelines for processing, labeling, and evaluation. \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;7\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Strong software engineering fundamentals in Python and C++, including algorithms, data structures, testing, debugging, and performance optimization. \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;8\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Strong written and verbal communication skills and the ability to work effectively on cross-functional teams. \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Bonus Points\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Experience with state estimation techniques such as factor graphs, Kalman filtering, nonlinear optimization, or related probabilistic estimation methods. \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Familiarity with distributed computing tools such as Ray, Kubernetes, or similar orchestration frameworks.\u0026amp;nbsp; \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Knowledge of embedded and real-time constraints for on-vehicle deployment.\u0026amp;nbsp; \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Experience in simulation, synthetic data generation, and uncertainty-aware ML modeling.\u0026amp;nbsp; \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Contributions to open-source robotics, perception, or ML frameworks.\u0026amp;nbsp; \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;6\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Familiarity with functional safety standards and automotive development processes, including ISO 26262.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:30,\u0026amp;quot;335559739\u0026amp;quot;:30}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Perks of Being a Full-time Torc’r\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A competitive compensation package that includes a bonus component and stock options\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;401K plan with a 6% employer match\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Flexibility in schedule and generous paid vacation (available immediately after start date)\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;AD+D and Life Insurance\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW132265532 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW132265532 BCX0\u0026quot;\u0026gt;At Torc, \u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW132265532 BCX0\u0026quot;\u0026gt;we’re\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW132265532 BCX0\u0026quot;\u0026gt; committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our \u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SpellingErrorV2Themed SCXW132265532 BCX0\u0026quot;\u0026gt;Torc’rs\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW132265532 BCX0\u0026quot;\u0026gt; and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;LineBreakBlob BlobObject DragDrop SCXW132265532 BCX0\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;SCXW132265532 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;br class=\u0026quot;SCXW132265532 BCX0\u0026quot;\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW132265532 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW132265532 BCX0\u0026quot;\u0026gt;Even if you \u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW132265532 BCX0\u0026quot;\u0026gt;don’t\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW132265532 BCX0\u0026quot;\u0026gt; meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;EOP Selected SCXW132265532 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW152443310 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW152443310 BCX0\u0026quot;\u0026gt;Our compensation reflects the cost of labor across several geographic markets. \u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW152443310 BCX0\u0026quot;\u0026gt;Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.\u0026lt;/span\u0026gt; \u0026lt;span class=\u0026quot;NormalTextRun SCXW152443310 BCX0\u0026quot;\u0026gt;Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan.\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW152443310 BCX0\u0026quot;\u0026gt; Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;EOP Selected SCXW152443310 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;Job ID: 102957\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$177,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$212,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127082002,"name":"Autonomy","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4045225002,"name":"Remote - US","location":null,"child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8765541002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8572505002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6424074002,"location":{"name":"Ann Arbor, MI, Remote - US"},"metadata":null,"id":8572505002,"updated_at":"2026-10-01T15:50:40-04:00","requisition_id":"R-102744","title":"Senior, ML Engineer - VLM","company_name":"Torc Robotics","first_published":"2026-07-08T09:00:15-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 2\u0026quot;\u0026gt;About the Company\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:220,\u0026amp;quot;335559739\u0026amp;quot;:100,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 2\u0026quot;\u0026gt;Meet The Team\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:220,\u0026amp;quot;335559739\u0026amp;quot;:100,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Torc is marching toward its AV 3.0 strategy, where end-to-end Vision-Language-Action (VLA) models perceive, reason, and act directly from sensor data. High-quality, semantically rich training data is the single biggest lever for that strategy, and this team owns it.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Sitting within Offline Perception, this team turns petabytes of logged multi-modal fleet data (images, kinematics) into VLM/VLA-ready datasets: geometric annotations, scenario-level semantic descriptions, action- and trajectory-grounded labels, and reasoning traces that explain why a maneuver was taken. We run a continuous data flywheel — mine long-tail and failure cases, auto-label at scale, validate quality, and feed curated datasets directly into Torc’s end-to-end VLM/VLA model development. You will own the dataset layer that those models learn from.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 2\u0026quot;\u0026gt;What \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 2\u0026quot;\u0026gt;You’ll\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 2\u0026quot;\u0026gt; Do\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:220,\u0026amp;quot;335559739\u0026amp;quot;:100,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Own the offline dataset pipeline\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; — design, implement, test, and deploy Cloud-based pipelines that convert logged multi-sensor data into VLM/VLA training datasets, spanning geometric labels (3D/2D detection, tracking, segmentation, depth) through semantic, scenario-level, and action/trajectory-grounded annotations.\u0026lt;/span\u0026gt; \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Build VLM-assisted auto-labeling\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; — develop open-vocabulary detection, dense captioning, semantic enrichment, and scene/scenario description generation that move beyond closed-set bounding boxes, using foundation models to scale annotation and cut manual labeling cost.\u0026lt;/span\u0026gt; \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Generate reasoning-grounded labels\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; — produce language-grounded reasoning and chain-of-causation style annotations, temporally aligned to ego-motion and trajectories, to support VLA training and explainable driving behavior.\u0026lt;/span\u0026gt; \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Mine and curate the long tail\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; — surface rare, difficult, and high-uncertainty scenarios, and build curated datasets that measurably improve downstream VLM/VLA model metrics rather than simply adding volume.\u0026lt;/span\u0026gt; \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Close the data flywheel\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; — define dataset schemas, quality metrics, and validation; track auto-labeling quality against model requirements; route model failures back into re-labeling and retraining loops.\u0026lt;/span\u0026gt; \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Partner with the end-to-end model team\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; — co-define dataset specifications with VLM/VLA model developers, own the quality bar and delivery cadence, and operationalize a continuous dataset delivery loop into their training pipelines.\u0026lt;/span\u0026gt; \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Scale on cloud infrastructure\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; — build distributed, reproducible pipelines using columnar data formats and distributed compute, with disciplined software practices, version control, and documentation.\u0026lt;/span\u0026gt; \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Lead and mentor\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; — serve as project lead, guide less-experienced engineers, run design reviews, set coding and annotation standards, and drive alignment across team interfaces to the rest of the organization.\u0026lt;/span\u0026gt; \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Stay current\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; — track the latest advances in multimodal models, auto-labeling, and end-to-end autonomous driving, and translate relevant research into production data systems.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233279\u0026amp;quot;:false,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:60,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 2\u0026quot;\u0026gt;What \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 2\u0026quot;\u0026gt;You’ll\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 2\u0026quot;\u0026gt; Need to Succeed:\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:220,\u0026amp;quot;335559739\u0026amp;quot;:100,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;10\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Considered highly skilled and proficient in discipline\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.\u0026lt;/span\u0026gt; \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;10\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Scope of Influence:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; Expected to drive alignment across team interfaces to the rest of the organization. Designs, maintains, and owns team technical solutions and drives consensus. Mentors and guides engineers within the group.\u0026lt;/span\u0026gt; \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;10\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering, or related technical field plus competences typically acquired through 6+ years of experience; OR Master’s Degree in a related technical field plus competences typically acquired through 3+ years of experience.\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233279\u0026amp;quot;:false,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:60,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Required Qualifications \u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;em\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;(some combination of the following skills):\u0026lt;/span\u0026gt;\u0026lt;/em\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559738\u0026amp;quot;:80,\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;14\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Computer Vision \u0026amp;amp; Deep Learning\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; — model training and at least two of: 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, BEV, Depth Estimation.\u0026lt;/span\u0026gt; \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;14\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Multimodal / VLM experience\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; — hands-on work with vision-language models, open-vocabulary or zero-shot recognition, dense captioning, or semantic embeddings / search applied to perception data.\u0026lt;/span\u0026gt; \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;14\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Model Data Curation\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; — building targeted datasets that measurably improve downstream model performance; large-scale Parquet data processing (Databricks, Daft, Pandas, etc.).\u0026lt;/span\u0026gt; \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;14\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Distributed ML \u0026amp;amp; data frameworks\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; — PyTorch, Lightning, Ray, Spark, or equivalent for training and large-scale data processing.\u0026lt;/span\u0026gt; \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;14\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Scaled MLOps \u0026amp;amp; Tooling\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; — experiment tracking, model registry, MLflow / Weights \u0026amp;amp; Biases, and ML metrics, evaluation, and quality.\u0026lt;/span\u0026gt; \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;14\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Development Tools \u0026amp;amp; Eco-System (at scale)\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; — strong Python software development, VDI and cloud-based development environments, CI systems (GitHub Actions), and Docker.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233279\u0026amp;quot;:false,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:60,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 2\u0026quot;\u0026gt;Bonus Points!\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:220,\u0026amp;quot;335559739\u0026amp;quot;:100,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;20\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;End-to-end / VLA driving\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; — familiarity with VLM/VLA or end-to-end driving models, trajectory and action grounding, or chain-of-causation / reasoning-trace datasets.\u0026lt;/span\u0026gt; \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;20\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Auto-labeling foundation models\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; — experience with segmentation, open-vocabulary detectors, or VLM/LLM-driven data engines for annotation and verification.\u0026lt;/span\u0026gt; \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;20\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;High-throughput model serving\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; — vLLM, SGLang, or similar for batch auto-labeling and inference at scale.\u0026lt;/span\u0026gt; \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;20\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Semantic inference \u0026amp;amp; retrieval\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; — attribute mapping, semantic search, and vector databases (e.g., LanceDB) for automotive data.\u0026lt;/span\u0026gt; \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;20\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;AV data standards \u0026amp;amp; tooling\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; — scenario-description standards such as Pegasus layers; parsing robotics formats (ROS bags, MCAP) and optimizing columnar storage (Parquet, Arrow).\u0026lt;/span\u0026gt; \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;20\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Cloud development \u0026amp;amp; orchestration\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; — Terraform and AWS managed services (S3, ECS, Lambda, DynamoDB, Step Functions, Athena); AWS HyperPod / Anyscale; inference orchestration.\u0026lt;/span\u0026gt; \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;20\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Data visualization\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; — Foxglove, FiftyOne (51), three.js, OpenGL, or similar for dataset inspection and accessibility.\u0026lt;/span\u0026gt; \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;20\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Evaluation \u0026amp;amp; research\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; — closed-loop / open-loop evaluation frameworks (e.g., NavSim-style planning metrics); publications in top-tier CV/AI/Robotics venues (CVPR/ECCV/ICCV, NeurIPS/ICLR/ICML, CoRL).\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233279\u0026amp;quot;:false,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:60,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 2\u0026quot;\u0026gt;Perks of Being a Full-time \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 2\u0026quot;\u0026gt;Torc’r\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:220,\u0026amp;quot;335559739\u0026amp;quot;:100,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;28\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;A competitive compensation package that includes a bonus component and stock options\u0026lt;/span\u0026gt; \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;28\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;100% paid medical, dental, and vision premiums for full-time employees \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;28\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;401K plan with a 6% employer match \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;28\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Flexibility in schedule and generous paid vacation (available immediately after start date) \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;28\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Company-wide holiday office closures \u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559991\u0026amp;quot;:270,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;28\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;AD+D and Life Insurance\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233279\u0026amp;quot;:false,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:60,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 2\u0026quot;\u0026gt;Additional Information\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:220,\u0026amp;quot;335559739\u0026amp;quot;:100,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc’s total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Job ID:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; R-102744\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$177,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$212,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127083002,"name":"Data Loop and Simulation","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8572505002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8686846002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6470577002,"location":{"name":"Remote - US, Ann Arbor, MI"},"metadata":null,"id":8686846002,"updated_at":"2026-10-01T15:50:40-04:00","requisition_id":"R-102917","title":"Senior, Product Cybersecurity Architect ","company_name":"Torc Robotics","first_published":"2026-08-10T14:55:09-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;About the Company\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;/span\u0026gt; \u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;/span\u0026gt;\u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Hyperlink\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/a\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026lt;/span\u0026gt; \u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Meet the Team\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Safety \u0026amp;amp; Regulatory – Product Cybersecurity team is responsible for ensuring the security, integrity, and resilience of Torc’s autonomous vehicle platform across the full product lifecycle. As a Senior Product Cybersecurity Architect, you will play a key role in embedding cybersecurity into the foundation of our autonomous driving systems. You’ll work closely with Compute Platform and Autonomy teams to develop cybersecurity elements of the Torc Safety Case and ensure security is built into our systems from conception through deployment. This role requires a deep understanding of product cybersecurity principles, a proactive approach to building cybersecurity in, and the ability to work cross-functionally with various departments to integrate robust cybersecurity measures into our products.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Do\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define and evaluate the implementation of cybersecurity controls, including but not limited to, embedded operating system, encryption, access controls, network security, middleware, and secure coding practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Specific hands-on knowledge with implementation of cybersecurity embedded operating systems, networking, and cryptographic controls (e.g. securing embedded Linux, QNX, Ethernet, cellular telematics).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct, with a cross-functional team, process activities to define requirements, find design deficiencies, detect implementation defects, verify the product’s cybersecurity posture, and otherwise secure Torc’s products.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with product development teams to embed security into their design and development lifecycle of products and other software development activities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stay abreast of emerging cybersecurity threats and technologies and continuously update our software security approaches, strategies, and solutions accordingly.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Liaise with external security vendors and partners, managing relationships, and ensuring the effective integration of third-party security solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prepare and present evidence in the cybersecurity case to demonstrate readiness to launch new products or release new software versions from a cybersecurity perspective.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Train internal stakeholders on security practices and act as a resource where expert cybersecurity assistance is needed.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience hands-on engineering with safety-critical, cyber-physical systems (automotive, aerospace, medical).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s or Master\u0026#39;s degree in computer science, electrical engineering, or related technical field plus demonstrated competences and technical proficiencies typically acquired through 6+ years of experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of cybersecurity principles and practices for embedded, automotive, and autonomous systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Must have strong demonstrated working usage of embedded operating systems (Linux, QNX, AUTOSAR) and embedded networking.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in recognizing software/hardware weaknesses security vulnerabilities and documentation through Threat Modeling.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in the autonomous vehicle industry, particularly with L4 self-driving technology.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with embedded automotive systems and embedded threat modeling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Classic AUTOSAR.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of cybersecure development lifecycles such as the Microsoft SDL, ISO 21434, AVCDL, or similar.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Perks of Being a Full-time Torc’r\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A competitive compensation package that includes a bonus component and stock options\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;401K plan with a 6% employer match\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Flexibility in schedule and generous paid vacation (available immediately after start date)\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;AD+D and Life Insurance\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW128126115 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW128126115 BCX0\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW190627344 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW190627344 BCX0\u0026quot;\u0026gt;At Torc,\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW190627344 BCX0\u0026quot;\u0026gt;we’re\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW190627344 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SpellingErrorV2Themed SCXW190627344 BCX0\u0026quot;\u0026gt;Torc’rs\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW190627344 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;LineBreakBlob BlobObject DragDrop SCXW190627344 BCX0\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;SCXW190627344 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;br class=\u0026quot;SCXW190627344 BCX0\u0026quot;\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW190627344 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW190627344 BCX0\u0026quot;\u0026gt;Even if you\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW190627344 BCX0\u0026quot;\u0026gt;don’t\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW190627344 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;EOP SCXW190627344 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW128126115 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW128126115 BCX0\u0026quot;\u0026gt;Our compensation reflects the cost of labor across several geographic markets.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW128126115 BCX0\u0026quot;\u0026gt;Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW128126115 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW128126115 BCX0\u0026quot;\u0026gt;Dependent\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW128126115 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;EOP SCXW128126115 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Job ID:\u0026lt;/strong\u0026gt; R-102917\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$153,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$183,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127095002,"name":"Product Cybersecurity","child_ids":[],"parent_id":4127089002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null},{"id":4045225002,"name":"Remote - US","location":null,"child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8686846002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8883469002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6557586002,"location":{"name":"Ann Arbor, MI"},"metadata":null,"id":8883469002,"updated_at":"2026-10-12T11:28:54-04:00","requisition_id":"814","title":"Senior Product Manager","company_name":"Torc Robotics","first_published":"2026-10-12T11:28:54-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;JOB DESCRIPTION:\u0026lt;/strong\u0026gt; Lead efforts to develop high quality product definitions, user journeys, product requirements, and Operational Design Domain (ODD) specifications to deliver next generation on road autonomous driving technology that meets the highest safety standards while supporting the company’s commercial goals. Collaborate with cross functional stakeholders—including internal and external customers, engineering, regulatory, marketing, and commercialization teams—to establish product vision, scope, priorities, and roadmap, and ensure effective communication of these elements across all levels of planning and execution. Prioritize product features using customer feedback, market analysis, and business objectives, and effectively communicate the associated technical and commercial tradeoffs to engineering, fleet management, marketing, and commercialization teams. Track key product development milestones by establishing clear, measurable, and testable product metrics and Key Performance Indicators (KPIs). Identify technical and execution risks that may impact critical product deliverables, and mitigate these risks by providing data driven recommendations and actions to the leadership team. Lead the evaluation and benchmarking of competitive and complementary products across the industry to ensure that Torc upholds the highest vehicle and operational safety standards and incorporates industry best practices. Lead team development and knowledge sharing initiatives by mentoring junior employees and contributing to the growth of organizational capabilities.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements:\u0026lt;/strong\u0026gt; Master’s degree in Computer Science, Computer Engineering, Robotics, or a related technical field with 3 years of industry experience, or alternatively a Bachelor’s degree in Computer Science, Computer Engineering, Robotics with 5 years of relevant industry experience. Experience must include: (1) Advanced Driver Assistance Systems (ADAS), Autonomous Driving technologies: Adaptive Cruise Control, Lane Keeping Assist, Traffic Jam Assist, Automatic Emergency Braking (AEB), Forward Collision Warning (FCW), Cross Traffic Collision Warning; (2) Sensing Technologies: Camera Systems, Automotive Radar Systems, LiDAR Systems, GNSS / GPS + IMU Ground Truth, Sensor Fusion; (3) safety and compliance frameworks, including those used by NHTSA and Euro NCAP; (4) Developing product requirements, roadmaps, product metrics, and Key Performance Indicators (KPIs); (5) Robotic Validation Systems: Steering Robots, Acceleration and Braking Robots, Guided Soft Target Robots, VRU Robotic Testing Platforms.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Salary: \u0026lt;/strong\u0026gt;$197,226.00 - $222,900.00.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;","departments":[{"id":4127075002,"name":"Engineering","child_ids":[4127077002,4127080002,4127076002,4127078002,4127079002],"parent_id":null}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8883469002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8703221002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6477900002,"location":{"name":"Ann Arbor, MI"},"metadata":null,"id":8703221002,"updated_at":"2026-10-01T15:50:40-04:00","requisition_id":"R-102924","title":"Senior, Software Engineer - Autonomy Core Frameworks ","company_name":"Torc Robotics","first_published":"2026-09-08T10:58:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;About the Company\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;/span\u0026gt;\u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Hyperlink\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/a\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Meet the Team\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;The Senior Autonomy Core Frameworks Software Engineer plays a critical role in architecting and advancing the foundational frameworks that underpin Torc\u0026#39;s autonomous driving stack. This role helps in owning technical direction for the software in core autonomy components, helping to raise the bar on code quality, and driving improvements across the autonomy software.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;As a senior technical leader, you will collaborate closely with the Behavior and Perception teams within Autonomy to design robust, composable architectural patterns that serve as the foundation for safe, performant, reliable autonomous operation. This position demands deep technical expertise in software architecture and autonomous vehicle fundamentals.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;What You’ll Do\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot; data-ccp-parastyle-defn=\u0026quot;{\u0026amp;quot;ObjectId\u0026amp;quot;:\u0026amp;quot;679f3b2c-153b-5071-bf1d-4b0991a9f682|1\u0026amp;quot;,\u0026amp;quot;ClassId\u0026amp;quot;:1073872969,\u0026amp;quot;Properties\u0026amp;quot;:[469777841,\u0026amp;quot;Times New Roman\u0026amp;quot;,469777842,\u0026amp;quot;Times New Roman\u0026amp;quot;,469777843,\u0026amp;quot;Times New Roman\u0026amp;quot;,469777844,\u0026amp;quot;Times New Roman\u0026amp;quot;,469769226,\u0026amp;quot;Times New Roman\u0026amp;quot;,469775450,\u0026amp;quot;font-claude-response-body\u0026amp;quot;,201340122,\u0026amp;quot;2\u0026amp;quot;,134233614,\u0026amp;quot;true\u0026amp;quot;,469778129,\u0026amp;quot;font-claude-response-body\u0026amp;quot;,335572020,\u0026amp;quot;1\u0026amp;quot;,268442635,\u0026amp;quot;24\u0026amp;quot;,134233118,\u0026amp;quot;true\u0026amp;quot;,134233117,\u0026amp;quot;true\u0026amp;quot;,469778324,\u0026amp;quot;Normal\u0026amp;quot;]}\u0026quot;\u0026gt;Lead the architecture, design, implementation, and \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;evolution \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;of core frameworks that serve as the foundation for Torc\u0026#39;s autonomous driving stack, including state management, inter-\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;component\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt; communication, abstraction layers, and common utilities used across all software systems.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;Drive\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;the technical direction for real-time C++ architectural components and patterns responsible for reliable system-wide data flow, \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;component\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt; coordination, error handling, and operational observability.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;Establish scalable architectural patterns and abstractions that enable autonomous driving capabilities while driving technical tradeoff discussions and long-term design decisions that shape the entire platform.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;Collaborate across Behavior and Perception teams to keep integration boundaries clean and shared abstractions coherent.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;Lead architecture reviews, design discussions, and code reviews while\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;establishing\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt; engineering standards that improve reliability, maintainability, testability, and scalability across the platform.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;Mentor software engineers through technical coaching, architectural guidance, and day-to-day collaboration while raising engineering standards and fostering technical excellence across the organization.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;Champion architectural quality through systematic validation, comprehensive testing strategies, observability frameworks, and production readiness practices that ensure platform robustness at scale.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;Contribute to\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;root cause analysis of complex platform-level issues and drive architectural improvements that enhance system reliability, performance, and operational resilience.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;Define and evolve simulation and validation frameworks that enable rigorous testing of core architectural components across diverse operational scenarios and edge cases.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;Evaluate emerging architectural patterns,\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;systems\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt; research, and advanced techniques that can strengthen the platform\u0026#39;s foundation and enable future autonomous driving capabilities.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;Communicate complex architectural concepts and technical vision effectively across engineering teams, product, and leadership while building consensus around platf\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;orm direction and technical strategy.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;What You’ll Need to Succeed\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Robotics, Electrical Engineering, or related technical discipline with 8+ years of professional software engineering experience, or\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Master\u0026#39;s degree with 6+ years of professional experience, or\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Demonstrated success designing and evolving complex, production software platforms with ownership of architectural decisions\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Deep experienced with C++17 and recent standards\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Comfortable with using Python to help script and glue systems together\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience working across autonomous systems/robotics, distributed systems, or complex embedded environments using middleware with pub-sub communications patterns\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Strong experience with testing, continuous integration, and build systems\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Deep experience with systems-level software design, including experience managing technical debt, refactoring large codebases, and evolving platforms while maintaining stability and performance.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience mentoring engineers through technical leadership, architecture reviews, code reviews, and establishing engineering standards that scale across organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Strong mastery of software engineering fundamentals including modular/composable architecture, design patterns, concurrency, testing strategies, and long-term maintainability.\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Bonus Points\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;12\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot; data-ccp-parastyle-defn=\u0026quot;{\u0026amp;quot;ObjectId\u0026amp;quot;:\u0026amp;quot;679f3b2c-153b-5071-bf1d-4b0991a9f682|1\u0026amp;quot;,\u0026amp;quot;ClassId\u0026amp;quot;:1073872969,\u0026amp;quot;Properties\u0026amp;quot;:[469777841,\u0026amp;quot;Times New Roman\u0026amp;quot;,469777842,\u0026amp;quot;Times New Roman\u0026amp;quot;,469777843,\u0026amp;quot;Times New Roman\u0026amp;quot;,469777844,\u0026amp;quot;Times New Roman\u0026amp;quot;,469769226,\u0026amp;quot;Times New Roman\u0026amp;quot;,469775450,\u0026amp;quot;font-claude-response-body\u0026amp;quot;,201340122,\u0026amp;quot;2\u0026amp;quot;,134233614,\u0026amp;quot;true\u0026amp;quot;,469778129,\u0026amp;quot;font-claude-response-body\u0026amp;quot;,335572020,\u0026amp;quot;1\u0026amp;quot;,268442635,\u0026amp;quot;24\u0026amp;quot;,134233118,\u0026amp;quot;true\u0026amp;quot;,134233117,\u0026amp;quot;true\u0026amp;quot;,469778324,\u0026amp;quot;Normal\u0026amp;quot;]}\u0026quot;\u0026gt;Experience architecting\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;, \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;maintaining\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;, and using robotics \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;middleware\u0026#39;s\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt; (E.g., ROS\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt; 2\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;)\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;12\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;Deep\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;expertise\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt; in distributed systems design, including consensus algorithms, state synchronization,\u0026lt;/span\u0026gt; \u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;event-driven architectures\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;, deterministic replay, etc\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;12\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;Familiarity with ISO 26262, SOTIF, ASPICE, or other safety-critical software development standards.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;12\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;Experience with Git\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;H\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;ub Actions and Jenkins\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;12\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;Experience with Bazel\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt; and Bazel-based build systems\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;12\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;Experience designing or building observability, logging, and monitoring systems for complex distributed systems.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;12\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;Experience working with simulations for regression testing\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;Arial\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;12\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;font-claude-response-body\u0026quot;\u0026gt;Experience managing versioning and conversion of data schemas at scale\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Perks of Being a Full-time Torc’r\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026amp;nbsp;\u0026amp;nbsp; \u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A competitive compensation package that includes a bonus component and stock options\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;401K plan with a 6% employer match\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Flexibility in schedule and generous paid vacation (available immediately after start date)\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;AD+D and Life Insurance\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW17348881 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW17348881 BCX0\u0026quot;\u0026gt;At Torc, \u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW17348881 BCX0\u0026quot;\u0026gt;we’re\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW17348881 BCX0\u0026quot;\u0026gt; committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our \u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SpellingErrorV2Themed SCXW17348881 BCX0\u0026quot;\u0026gt;Torc’rs\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW17348881 BCX0\u0026quot;\u0026gt; and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;LineBreakBlob BlobObject DragDrop SCXW17348881 BCX0\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;SCXW17348881 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;br class=\u0026quot;SCXW17348881 BCX0\u0026quot;\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW17348881 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW17348881 BCX0\u0026quot;\u0026gt;Even if you \u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW17348881 BCX0\u0026quot;\u0026gt;don’t\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW17348881 BCX0\u0026quot;\u0026gt; meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;EOP Selected SCXW17348881 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW179899844 BCX0\u0026quot;\u0026gt;Our compensation reflects the cost of labor across several geographic markets. \u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW179899844 BCX0\u0026quot;\u0026gt;Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.\u0026lt;/span\u0026gt; \u0026lt;span class=\u0026quot;NormalTextRun SCXW179899844 BCX0\u0026quot;\u0026gt;Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan.\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW179899844 BCX0\u0026quot;\u0026gt; Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW210735436 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW210735436 BCX0\u0026quot;\u0026gt;Job ID:\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;EOP Selected SCXW210735436 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt; 102923\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$160,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$193,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127082002,"name":"Autonomy","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8703221002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8640185002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6450815002,"location":{"name":"Ann Arbor, MI, Remote - US"},"metadata":null,"id":8640185002,"updated_at":"2026-10-16T11:16:15-04:00","requisition_id":"R-102834","title":"Senior, Software Engineer - AutoTagging","company_name":"Torc Robotics","first_published":"2026-08-10T14:17:45-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 1\u0026quot;\u0026gt;About the Company\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559738\u0026amp;quot;:280,\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;/span\u0026gt; \u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt; \u0026lt;/span\u0026gt;\u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Hyperlink\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/a\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.  \u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 1\u0026quot;\u0026gt;Meet the Team\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559738\u0026amp;quot;:280,\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;The Auto Tagger team is the engine behind our data flywheel, responsible for translating petabytes of raw, multi-modal vehicle data into a highly curated library of critical driving scenarios. By mining driving logs for long-tail events, we provide the foundational data required for safe autonomous trucking. Leveraging Pegasus logical layers, this team structures and catalogs findings into an observations database that directly accelerates development across autonomous perception, sensor fusion, and generative simulation testing.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 1\u0026quot;\u0026gt;What You\u0026#39;ll Do\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559738\u0026amp;quot;:280,\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and implement event-detection algorithms over multi-sensor time-series data (ego kinematics, perception object tracks, lane and map geometry) using temporal logic, state machines, signal processing, and geometric reasoning in road-relative frames.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Combine rule-based logic with learned components (classifiers, embeddings, Vision-Language Models) where heuristics hit their ceiling, and make the call on which approach fits each scenario.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build evaluation for the taggers you write: ground-truth sets, per-scenario precision and recall, failure analysis, and regression tests that catch quality drift.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Turn ambiguous stakeholder requests (“find interesting merges”) from perception, simulation, and systems teams into precise, testable scenario definitions mapped to Pegasus layers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own your taggers end to end into production: Python on Databricks/Spark, CI via GitHub Actions, and monitoring of both tag quality and job health.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize taggers for scale and cost across petabytes of logs, favoring vectorized, distributed implementations over per-frame processing.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 1\u0026quot;\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559738\u0026amp;quot;:280,\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 6+ years of experience OR\u0026amp;nbsp;Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 3+ years of experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated algorithm design on real-world sensor, time-series, or geospatial data, in areas such as perception, tracking, state estimation, prediction, planning, signal processing, or applied ML.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong Python skills, including NumPy, pandas, and SciPy, plus working proficiency in SQL.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience defining metrics and evaluating algorithm quality against labeled or ground-truth data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on exposure to production data systems: distributed compute (Spark, Ray, or Databricks), a cloud platform (AWS preferred), and CI/CD.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills to work across ML, perception, and simulation teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 1\u0026quot;\u0026gt;Bonus Points!\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559738\u0026amp;quot;:280,\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Autonomous vehicle or robotics data experience: ROS bags/MCAP, HD maps, Frenet or lane-relative coordinates.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with scenario description standards such as Pegasus layers or OpenSCENARIO.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with VLMs, zero-shot classification, auto-labeling pipelines, or embedding/vector search for scenario extraction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with GitHub Actions, infrastructure-as-code (Terraform or CloudFormation), and observability tooling (Datadog, Grafana, CloudWatch).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with model serving frameworks such as vLLM or SGLang.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with columnar storage formats (Parquet, Arrow).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 1\u0026quot;\u0026gt;Perks of Being a \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 1\u0026quot;\u0026gt;Torc\u0026#39;r\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559738\u0026amp;quot;:280,\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;Aptos\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;25\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A competitive compensation package that includes a bonus component and stock options\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;Aptos\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;25\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;Aptos\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;25\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;401K plan with a 6% employer match\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;Aptos\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;25\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Flexibility in schedule and generous paid vacation (available immediately after start date)\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;Aptos\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;25\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Company-wide holiday office closures\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;Aptos\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;25\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;AD+D and Life Insurance\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:60}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;At Torc, we\u0026#39;re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc\u0026#39;rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don\u0026#39;t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026lt;/span\u0026gt;\u0026lt;/em\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559738\u0026amp;quot;:200,\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026lt;/span\u0026gt;\u0026lt;/em\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;Job ID: R-102834\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$160,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$193,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127083002,"name":"Data Loop and Simulation","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null},{"id":4045225002,"name":"Remote - US","location":null,"child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8640185002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8862639002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6548144002,"location":{"name":"Fort Worth, Texas; Ann Arbor, Michigan"},"metadata":null,"id":8862639002,"updated_at":"2026-10-08T16:24:51-04:00","requisition_id":"R-103016","title":"Senior Software Engineer - Cloud Automation","company_name":"Torc Robotics","first_published":"2026-10-08T16:24:51-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;About The Role:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Nearly every engineering team at Torc builds and runs workloads in AWS, and we are the team that makes that possible at scale. We own and operate a large, global AWS Organization and Control Tower, and we are accountable for the foundational infrastructure, security posture, and developer tooling that the rest of engineering depends on. \u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;What You\u0026#39;ll Do:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:0,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240,\u0026amp;quot;335559740\u0026amp;quot;:279}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Define and maintain an account vending machine with appropriate organizational control policies.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Design and operate shared networks, including Direct Connect, Site-to-Site VPN, and cloud-native network segmentation.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Own cloud security posture: SIEM integrations, identity and access management, and compliance tooling.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Design, deploy, and operate shared infrastructure including EKS and ECS clusters, and hosted application platforms.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Maintain and improve CI/CD infrastructure and shared build tooling used across the engineering organization.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;6\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Manage shared package and artifact distribution (JFrog Artifactory, AWS CodeArtifact).\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;7\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Drive cloud cost visibility, attribution, and efficiency across the organization.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;8\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Collaborate with teams specializing in perception, planning, control, mapping, and vehicle testing to architect solutions that support their development workflows in AWS.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;9\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Contribute to technical decisions, design reviews, and the team\u0026#39;s documentation and operational standards.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Here is a list of some of the technologies we use to make all the above happen:\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;AWS (Organizations, Control Tower, Direct Connect, Site-to-Site VPN, WAF, FMS, Lambda, EventBridge, MACIE, SecurityHub, EKS, ECS, IAM, S3, EC2).\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Terraform and Account Factory for Terraform (AFT).\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Python.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;GitHub Actions, Jenkins, JFrog Artifactory, AWS CodeArtifact.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;On-Call Tooling (Datadog, AWS CloudWatch).\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;What You\u0026#39;ll Need To Succeed:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Bachelor’s degree in Computer Science or a related field with 6+ years of experience OR a Master\u0026#39;s degree with 3+ years of experience.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Deep, hands-on experience with AWS, particularly in multi-account Organizations, IAM, networking, EKS/ECS, and security services.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Strong infrastructure as code discipline using Terraform, including module design and managing state at scale.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Demonstrated experience with cloud security fundamentals: identity and access management, least-privilege design, compliance tooling, and security posture management.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Familiarity with CI/CD systems and the infrastructure behind build, test, and artifact workflows.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Bonus Points!\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Strong organizational, time management, and communication skills working with a team orientation and collaborative style.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience with AWS Control Tower, Account Factory for Terraform (AFT), or similar account vending patterns.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience operating infrastructure for ML or robotics workloads.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;How We Work:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;We work in a distributed team to ensure everyone is on the same playing field in terms of collaboration and information, regardless of where they work. We collaborate frequently in many different forms, including daily stand-ups, planning meetings, and many ad hoc discussions/brainstorming/troubleshooting/pairing sessions over Zoom or Slack. Our team is operationally responsible for the services we own, so we do have an on-call rotation in place where each member will take a turn serving as the front line for incidents for our services. Rotations last a week each, during business hours. We value maintaining a healthy work/life balance and prefer sustainable development over heroic efforts.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$160,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$193,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127080002,"name":"Build, Tools, Partners \u0026 Release","child_ids":[],"parent_id":4127075002}],"offices":[{"id":4086493002,"name":"Fort Worth","location":"Fort Worth, Texas, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8862639002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8567703002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6422074002,"location":{"name":"Remote - US"},"metadata":null,"id":8567703002,"updated_at":"2026-10-01T15:50:40-04:00","requisition_id":"R-102742","title":"Senior Software Engineer - New AI Initiatives","company_name":"Torc Robotics","first_published":"2026-06-11T12:55:50-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;About the Company\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;/span\u0026gt; \u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;/span\u0026gt;\u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Hyperlink\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/a\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026lt;/span\u0026gt; \u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Meet the Team\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;As a Senior Software Engineer on the ML Ops team, you will translate ambiguous and complex business problems into machine learning workflows including exploratory data analysis, deep learning model development, batch inference, metric computation,\u0026amp;nbsp; and embedded deployment. Our team is comprised of outstanding engineers with various backgrounds including start up tech sector, physical AI, consumer package goods, Fortune 500 SaaS companies.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;The New AI Initiatives, is a role which frequently bounces between topics to both pursue cutting edge technology and see their implementation through to production. As a New\u0026amp;nbsp;Initiatives engineer, you will regularly be working with numerous stakeholders and different teams to ensure Torc embraces state of the art technology.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;What\u0026amp;nbsp;You’ll\u0026amp;nbsp;Do\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;You will play a key role building the foundation of Torc\u0026#39;s AI development tooling.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Independently develop data science models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, enforcing version control, and maintaining documentation of created applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operate with Data Ops to define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organize and lead projects, serving as project lead guiding less experienced team members in multiple facets of project execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower users with key insights, supporting visualization and data accessibility in a customer centric manner.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes.\u0026lt;/li\u0026gt;\n\u0026lt;li data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;Communicate and collaborate within the team and participate with the team’s interfaces to the rest of the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;What\u0026amp;nbsp;You’ll\u0026amp;nbsp;Need to Succeed\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 6+ years of experience OR;\u0026amp;nbsp;Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 3+ years of experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Adventurous spirit where you can work on topics at the frontier and drive exploration.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Rigorous disposition: you will have to pass judgement on what is and what is not practical for Torc to implement at scale.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will need to communicate your outcomes and progress to other teams so they can take your findings and reliably implement them.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will need resilience, you must be comfortable with working on a project for a month that may not reach production.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Perks of Being a Full-time\u0026amp;nbsp;Torc’r\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Torc cares about our team\u0026amp;nbsp;members\u0026amp;nbsp;and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A competitive compensation package that includes a bonus\u0026amp;nbsp;component\u0026amp;nbsp;and stock options\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;401K plan with a 6% employer match\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Flexibility in schedule and generous paid vacation (available immediately after start date)\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;AD+D and Life Insurance\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW33141359 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW33141359 BCX0\u0026quot;\u0026gt;At Torc,\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW33141359 BCX0\u0026quot;\u0026gt;we’re\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW33141359 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SpellingErrorV2Themed SCXW33141359 BCX0\u0026quot;\u0026gt;Torc’rs\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW33141359 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;LineBreakBlob BlobObject DragDrop SCXW33141359 BCX0\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;SCXW33141359 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;br class=\u0026quot;SCXW33141359 BCX0\u0026quot;\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW33141359 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW33141359 BCX0\u0026quot;\u0026gt;Even if you\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW33141359 BCX0\u0026quot;\u0026gt;don’t\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW33141359 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;EOP Selected SCXW33141359 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW161112886 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW161112886 BCX0\u0026quot;\u0026gt;Our compensation reflects the cost of labor across several geographic markets.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW161112886 BCX0\u0026quot;\u0026gt;Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW161112886 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;EOP Selected SCXW161112886 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW261329700 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW261329700 BCX0\u0026quot;\u0026gt;Job ID:\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;EOP Selected SCXW261329700 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt; 102742\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$160,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$193,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127083002,"name":"Data Loop and Simulation","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null},{"id":4045225002,"name":"Remote - US","location":null,"child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8567703002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8596542002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6433528002,"location":{"name":"Remote, U.S, Ann Arbor, MI, Fort Worth, TX, Blacksburg, VA"},"metadata":null,"id":8596542002,"updated_at":"2026-10-01T15:50:40-04:00","requisition_id":"R-102789","title":"Senior SOTIF Engineer","company_name":"Torc Robotics","first_published":"2026-08-04T13:36:32-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;About the Company\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;/span\u0026gt;\u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Hyperlink\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/a\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Meet the Team:\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;Join our SW Systems and Safety - Behaviors \u0026amp;amp; Autonomy Team, where we work at the forefront of autonomous trucking and L4 systems. Our team collaborates across safety, systems engineering, product, V\u0026amp;amp;V, mapping, AI-ML, and SW teams to ensure that safety frameworks are met (e.g. FuSa, SOTIF, AI-Safety, etc.), reducing functional and behavioral insufficiencies and ensuring a robust autonomous vehicle platform. We are seeking a\u0026amp;nbsp;\u0026lt;u\u0026gt;\u0026lt;em\u0026gt;Senior SOTIF Engineer \u0026lt;/em\u0026gt;\u0026lt;/u\u0026gt;with a strong knowledge of Functional Safety (ISO 26262), SOTIF (ISO 21448), AI Safety (ISO-PAS 8800), AV Safety Case (UL 4600). etc., and passionate about safety-critical SW systems, risk assessment, and verification \u0026amp;amp; validation strategies. In this role, you will lead safety critical initiatives and safety assessments, risk analyses, and safety improvements with close collaboration with our AI-ML and SW development teams, helping shape the future of autonomous trucking technology.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 3 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Doing:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 3 []\u0026quot;\u0026gt;As a Senior SOTIF Engineer, you will play a key role in evaluating and enhancing the safety and reliability of autonomous trucking systems. You will work with functional safety engineers, system engineers, design teams, AI-ML engineers, and SW Devs to ensure that SOTIF acceptance criteria are met and that autonomous systems operate safely and effectively under all conditions.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Work closely with functional safety and system engineers to ensure SOTIF targets are achieved in autonomous vehicle development.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Lead SOTIF evaluations and guide engineers to meet SOTIF acceptance criteria\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Interact with AI-ML engineers and SW Developers to ensure the safety of Torc solutions\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Identify functional insufficiencies and triggering conditions, providing risk assessment (HIRE analysis) and safety improvements.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Define areas for design improvement and collaborate with design teams to refine system specifications.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Evaluate the completeness of design specifications to ensure they meet SOTIF maturity standards.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Derive acceptance criteria for S\u0026amp;gt;0, C\u0026amp;gt;0 analysis and lead discussions on necessary functional modifications.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Develop verification and validation targets for known and unknown safety scenarios.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Support SOTIF-related operational strategies, ensuring the safe deployment of autonomous vehicles.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Communicate SOTIF achievement metrics and risk assessments to management and key stakeholders.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Collaborate with systems design and architecture teams to ensure SOTIF considerations are integrated into autonomous trucking specifications.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Demonstrates competences and technical proficiencies typically acquired through:\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Master’s Degree in Computer Science, Computer Engineering, Systems Engineering, or equivalent with 3+ years relevant experience.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Bachelor’s Degree in Computer Science, Computer Engineering, Systems Engineering, or equivalent with 6+ years relevant experience.  \u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Strong knowledge of automotive, heavy-duty truck, or aerospace products and industries.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Expertise in ISO 21448 (SOTIF), ISO-PAS 8800 (Safety and AI), ISO 26262 (Functional Safety) with a proven track record of applying these standards in complex engineering environments.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Excellent project management and leadership skills, with the ability to drive safety initiatives across cross-functional teams.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Strong analytical skills, with the ability to assess risks, derive safety requirements, and define verification \u0026amp;amp; validation strategies.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Highly organized and capable of handling multiple projects in a fast-paced, evolving environment.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Strong interpersonal and communication skills, with the ability to collaborate effectively across engineering teams and leadership.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Detail-oriented, self-motivated, and able to work independently while also leading discussions and influencing stakeholders.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Comfortable working in an environment of ambiguity and rapid change, with the ability to quickly adapt and make informed safety decisions.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Ability to ethically handle sensitive and confidential information with impartiality and professionalism.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus\u0026amp;nbsp;Points!\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Understanding / knowledge of AI-ML techniques\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Experience is SW development and knowledge of C++, Python, MATLAB/Simulink\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Working knowledge of Jama, CAMEO, and JIRA\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Experience in SAFe AGILE environments\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Perks of Being a Full-time\u0026amp;nbsp;Torc’r\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Torc cares about our team\u0026amp;nbsp;members\u0026amp;nbsp;and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A competitive compensation package that includes a bonus\u0026amp;nbsp;component\u0026amp;nbsp;and stock options\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;401K plan with a 6% employer match\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Flexibility in schedule and generous paid vacation (available\u0026amp;nbsp;immediately\u0026amp;nbsp;after\u0026amp;nbsp;start\u0026amp;nbsp;date)\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;AD+D and Life Insurance\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW262121992 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW262121992 BCX0\u0026quot;\u0026gt;At Torc,\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW262121992 BCX0\u0026quot;\u0026gt;we’re\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW262121992 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SpellingErrorV2Themed SCXW262121992 BCX0\u0026quot;\u0026gt;Torc’rs\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW262121992 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;LineBreakBlob BlobObject DragDrop SCXW262121992 BCX0\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;SCXW262121992 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;br class=\u0026quot;SCXW262121992 BCX0\u0026quot;\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW262121992 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW262121992 BCX0\u0026quot;\u0026gt;Even if you\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW262121992 BCX0\u0026quot;\u0026gt;don’t\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW262121992 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;EOP SCXW262121992 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW86359851 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW86359851 BCX0\u0026quot;\u0026gt;Our compensation reflects the cost of labor across several geographic markets.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW86359851 BCX0\u0026quot;\u0026gt;Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW86359851 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;EOP SCXW86359851 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW62019229 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW62019229 BCX0\u0026quot;\u0026gt;Job ID:\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;EOP SCXW62019229 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt; 102789\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$177,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$212,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127090002,"name":"Product Engineering Safety \u0026 Security","child_ids":[],"parent_id":4127089002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8596542002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8921954002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6575063002,"location":{"name":"Ann Arbor, MI"},"metadata":null,"id":8921954002,"updated_at":"2026-10-28T13:51:42-04:00","requisition_id":"R-103044","title":"Senior Systems Engineer – AD-Kit Components","company_name":"Torc Robotics","first_published":"2026-10-28T13:51:42-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Meet the Team:\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;Join the Autonomous Driving Kit (AD-Kit) Systems Team, where we design, source, develop, build and deliver a highly scalable Autonomous Driving Kit (AD-Kit) system. Your role will make a significant impact on the future of trucking and autonomous technology as we look to Drive the Future of Freight. We are currently seeking a System Engineer who is enthusiastic about systems engineering and autonomy compute systems. This work is aligned to best-in class functional safety and cybersecurity standards.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;What you\u0026#39;ll do:\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;We are looking for an experienced and dynamic Senior Systems Engineer who will bring new ideas, optimizations, and best practices to the AD-Kit Systems Team. The Senior Systems Engineer owns and drives the decomposition, alignment, and traceability of product requirements across compute platform systems. The team is responsible for authoring, maintaining, and analyzing technical requirements, and working across the product lifecycle to ensure stakeholder alignment and successful bring-up, testing, validation, and integration of the AD-Kit System. This includes, but is not limited to, embedded compute, data logging, power distribution, smart antenna, and all sensor modalities (radar, LiDAR, camera, microphone, etc).\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead the development of compute platform system requirements, ensuring alignment with applicable functional safety and cybersecurity standards.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain requirements databases using Jama, ensuring accuracy and traceability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with the Product team to interpret product-level requirements and decompose them into detailed autonomy system requirements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the development of AD-Kit System functional architecture.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop AD-Kit System integration and test plans.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stay up to date with the latest industry trends, technologies, and best practices and champion this with others in the group.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Perform problem-solving activities during design, prototype, and production, driving root cause analysis and problem resolution.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What you’ll need to succeed:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Electrical Engineering, Hardware Engineering, Computer Engineering, Systems Engineering, or a related field and 6+ years of experience OR Master’s degree in a related field and 3+ years of experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and teamwork skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on systems, hardware, and software engineering experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with safety-critical and fail-operational control systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with and strong understanding of automotive ECUs and methodologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Requirements Management Tools such as Jama.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity or experience with data buses such as CAN, PCIe, Ethernet, Automotive Ethernet, LIN, I2C.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with high-speed signaling and signal integrity.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points!\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with ISO 26262 standards and ASPICE and how to creatively apply these concepts to iterative design and development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in establishing a robust functional safety case for L4 autonomous applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with high-speed signals on PCBs such as PCIe, Ethernet, and DDR memory.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with C, C++, Python, and/or Linux.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing, executing, and documenting lab-based and/or real-world field tests.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of industry standards and regulations related to automotive electronics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with standard lab equipment such as oscilloscopes and multimeters.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$153,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$183,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127079002,"name":"Compute Platform","child_ids":[],"parent_id":4127075002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8921954002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8805511002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6523738002,"location":{"name":"Blacksburg, VA "},"metadata":null,"id":8805511002,"updated_at":"2026-10-28T14:09:04-04:00","requisition_id":"R-102975","title":"Senior Systems Integration Engineer","company_name":"Torc Robotics","first_published":"2026-09-18T18:28:19-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;Meet the Team\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;Join Torc\u0026#39;s System Integration \u0026amp;amp; Enablement team, where we build the tools, test infrastructure, automation frameworks, and integration environments that enable Torc\u0026#39;s autonomous driving platform to operate reliably at scale.\u0026lt;br\u0026gt;Our team works at the intersection of hardware, embedded software, platform software, systems engineering, validation, and autonomy integration. We partner closely with teams across Compute Platform and the broader autonomy organization to improve the efficiency, repeatability, and quality of platform integration activities.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;Through Hardware-in-the-Loop systems, on-truck development, automation frameworks, validation infrastructure, and integration tooling, we ensure software developed across Torc can be successfully integrated, tested, and deployed on its intended hardware platforms.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;We are looking for a Senior Systems Integration Engineer to lead on-truck platform bring-up and integration. You will be the engineer others turn to when a new compute platform, sensor, or software release needs to work on a real truck, and you will shape how the team approaches integration so that it scales beyond any one person.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Do\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead on-truck bring-up and integration of embedded compute platforms, sensors, networking, and vehicle interfaces, from first power-on through validated, deployable configurations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own integration of platform, embedded, and autonomy software releases onto target hardware, defining acceptance criteria and making the call on integration readiness.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive root-cause investigations that span hardware, firmware, OS, middleware, and application software, and see them through to durable fixes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and evolve Hardware-in-the-Loop, Software-in-the-Loop, and on-vehicle validation environments so they faithfully represent production trucks and catch issues before the field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Architect automation frameworks, diagnostic tooling, and integration processes that other engineers adopt, and define system-level test strategies for new platform variants.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent integration in cross-functional design reviews, using lab and field evidence to influence hardware and software architecture decisions and to surface systemic risks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor junior and mid-level engineers, and author the bring-up procedures, troubleshooting guides, and reference documentation that become the team\u0026#39;s standard.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Systems Engineering, Electrical Engineering, Computer Engineering, Computer Science, Robotics, or a related field; Master\u0026#39;s preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience integrating hardware and software systems, with demonstrated ownership of complex, multi-disciplinary integration efforts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience bringing up embedded Linux compute platforms, including boot flow, kernel and driver configuration, BSP customization, and system-level debugging.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong Python and C++ (or comparable) skills, with experience building tools and automation used by other engineers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing or maintaining Hardware-in-the-Loop, Software-in-the-Loop, or equivalent validation environments, and working with CI/CD and automated test frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of vehicle and robotics communication stacks such as Ethernet, CAN, PTP, DDS, and ROS 2, including deployment on embedded targets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to lead cross-domain root-cause investigations using logs, telemetry, bus captures, and lab instrumentation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong written and verbal communication, experience mentoring or leading technical work without direct authority, and comfort working in vehicles and lab environments with occasional travel to test sites.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Bonus Points\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience integrating autonomous vehicle, ADAS, or robotics platforms in a production or pre-production setting, especially trucking or heavy-duty vehicles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with functional safety or safety-critical development practices (ISO 26262, SOTIF, or equivalent).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with automotive Ethernet, SOME/IP, or time-sensitive networking.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with NVIDIA DRIVE or similar SoC/GPU platforms, or with Yocto, Buildroot, or custom Linux distributions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with sensor integration and calibration, fleet telemetry, remote diagnostics, or over-the-air update systems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$153,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$183,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127079002,"name":"Compute Platform","child_ids":[],"parent_id":4127075002}],"offices":[{"id":4028910002,"name":"Blacksburg - HQ","location":"Blacksburg, Virginia, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8805511002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8784018002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6514022002,"location":{"name":"Remote - US; Blacksburg, VA; Ann Arbor, MI"},"metadata":null,"id":8784018002,"updated_at":"2026-10-01T15:50:40-04:00","requisition_id":"R-102964","title":"Senior System Test Engineer - Simulation","company_name":"Torc Robotics","first_published":"2026-09-14T15:37:40-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;What you will do\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;As a Simulation Test Engineer, you will own system-level simulation testing of our autonomous driving software. You will focus on the virtual verification and validation of both perception and autonomous. You will also provide support to Torc’s development and integration teams and be instrumental in growing the robustness and safety of our self-driving technology.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:540,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Identify, plan, and execute simulation test campaigns for autonomous vehicle V\u0026amp;amp;V efforts.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Interface with Product, Systems, and Safety teams to develop V\u0026amp;amp;V simulation strategies.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Maintain and improve Torc\u0026#39;s Scenario Library, containing Abstract, Logical, and Concrete scenarios to ensure robust ODD coverage.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Acknowledge testing gaps and derive requirements for new or improved test tools, simulation environments, and test frameworks.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Coordinate with internal tools teams and external vendors to evolve Torc\u0026#39;s simulation and virtual testing toolchains.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:1080,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;6\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Perform in-depth analysis and triage of simulation results, including development of dashboards and test reports to communicate results clearly to stakeholders.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt; \u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;What you’ll need to succeed:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559685\u0026amp;quot;:780,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;22\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:780,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Bachelor\u0026#39;s Degree in Computer Science, Computer Engineering, Robotics Engineering, Systems Engineering, or engineering equivalent with 6+ years of experience \u0026lt;/span\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;OR\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt; a Master\u0026#39;s Degree with 3+ years of experience.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;22\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:780,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Experience with virtual testing and simulation of perception and autonomous vehicle behavior\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;22\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:780,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Experience developing scenarios compliant with the ASM OpenScenario standard, especially Abstract and/or Logical Scenarios.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;22\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:780,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Experience developing\u0026amp;nbsp; Test Cases and Test Procedures.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;22\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:780,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Scripting in .yaml and using Python for data analysis.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;22\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:780,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;6\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Experience with software and system troubleshooting and problem-solving with specific focus on system-level analysis, fault isolation, and identification\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;22\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:780,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;7\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Proficiency working in a Linux environment.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;22\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:780,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;8\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Working knowledge of basic probability and linear algebra.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;22\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:780,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;9\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Experience effectively reporting progress and test results to stakeholders.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;22\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:780,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;10\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Familiar with the state-of-the-art approaches of autonomous vehicle validation. \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Bonus Points!\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;23\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:780,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Automotive or similar test and validation experience.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;23\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:780,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Experience with developing \u0026amp;amp; validating sensor models, traffic vehicle models, and vehicle dynamics models.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;23\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:780,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;ROS (Robot Operating System).\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;23\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:780,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Ability to mentor lower-level engineers.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559737\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559685\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0,\u0026amp;quot;335559740\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$153,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$183,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4139672002,"name":"System V\u0026V and Release","child_ids":[],"parent_id":4127089002}],"offices":[{"id":4045225002,"name":"Remote - US","location":null,"child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8784018002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8842508002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6540089002,"location":{"name":"Remote"},"metadata":null,"id":8842508002,"updated_at":"2026-10-08T16:48:39-04:00","requisition_id":"R-102998","title":"Simulation V\u0026V Manager","company_name":"Torc Robotics","first_published":"2026-10-08T16:48:39-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What you will do:\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;As the Simulation Test Manager, you will lead a team of simulation test engineers responsible for the virtual verification and validation (V\u0026amp;amp;V) of Torc’s autonomous truck. You will set the strategic and technical direction for the team, ensuring that simulation-based evidence for both perception and autonomous behavior supports Torc’s safety case and aligns with industry standards including ISO 21448 (SOTIF), ISO 8800, and ISO 26262. You will also partner with development, integration, and safety teams and be instrumental in growing the robustness and safety of our self-driving technology.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead, mentor, and grow a team of simulation test engineers, setting clear goals, priorities, and development plans.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and own the scaled simulation V\u0026amp;amp;V strategy, roadmap, and technical direction for the team in support of Torc’s autonomous truck safety case.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure simulation test methods, processes, and evidence align with ISO 21448 (SOTIF), ISO 8800, and ISO 26262.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Product, Systems, and Safety teams to translate requirements, hazardous, and ODD definitions into simulation V\u0026amp;amp;V strategies and release-readiness criteria.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan and oversee simulation test campaigns, including resourcing, scheduling, and delivery against program milestones.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Guide the evolution of Torc’s Scenario Library, containing Abstract, Logical, and Concrete scenarios, to ensure robust ODD coverage and traceability to requirements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify testing gaps and drive requirements for new or improved test tools, simulation environments, and test frameworks; manage relationships with internal tools teams and external vendors to evolve Torc’s simulation and virtual testing toolchains.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Review simulation results and communicate V\u0026amp;amp;V status, risks, and findings to engineering leadership and stakeholders through dashboards and test reports.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What you’ll need to succeed:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Bachelor\u0026#39;s degree in engineering or a related field with 6+ years of experience, or a Master\u0026#39;s degree with 4+ years of experience.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience leading virtual testing and simulation of perception and autonomous vehicle behavior.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of ISO 26262, ISO 21448 (SOTIF), and ISO 8800, and how they apply to simulation-based verification and validation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience defining test strategy and overseeing the development of simulation scenarios and Test cases with traceability to requirements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with scenario-based testing and the ASAM OpenSCENARIO standard, especially Abstract and/or Logical Scenarios.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical depth in Python and SQL for data analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with software and system troubleshooting and problem-solving with specific focus on system-level analysis, fault isolation, and identification.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of probability, statistics, and linear algebra, including their use in coverage and statistical validation arguments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing cross-functional partners, internal tools teams, and external simulation vendors.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience effectively reporting progress and test results to leadership and stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiar with the state-of-the-art approaches of autonomous vehicle validation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points!\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;ADAS verification and validation experience.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience contributing to safety cases or safety assurance arguments, including simulation tool qualification (e.g., ISO 26262 tool confidence).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with developing \u0026amp;amp; validating sensor models, traffic vehicle models, and vehicle dynamics models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience evaluating and interacting with ROS based systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience hiring, building, and scaling engineering teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$160,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$193,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4139672002,"name":"System V\u0026V and Release","child_ids":[],"parent_id":4127089002}],"offices":[{"id":4045225002,"name":"Remote - US","location":null,"child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8842508002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8649372002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6454288002,"location":{"name":"Ann Arbor, MI, Blacksburg, VA"},"metadata":null,"id":8649372002,"updated_at":"2026-10-01T15:50:40-04:00","requisition_id":"R-102861","title":"Software Engineer, I - Data Engineering","company_name":"Torc Robotics","first_published":"2026-09-03T15:23:11-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;About the Company\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;/span\u0026gt;\u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Hyperlink\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/a\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Meet the Team\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;Torc’s Data Engineering team is a highly collaborative group focused on building secure, scalable systems that let customers work with data easily and confidently. We operate as a distributed, remote-first team, ensuring everyone has equal access to information and collaboration. Our work includes frequent touchpoints—daily standups, planning sessions, and ad hoc discussions over Zoom or Slack. Because we own our services end-to-end, each engineer participates in a business hour on call rotation. We prioritize healthy work/life balance and sustainable development over heroic efforts.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;What\u0026amp;nbsp;You’ll\u0026amp;nbsp;Do\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;We are looking for a Software Engineer who is eager to learn and grow while helping build and support Linux- and cloud-based data systems. In this role, you’ll work closely with experienced engineers to contribute to AWS-based data ingestion, ETL, and storage solutions that enable analytics, simulation, and ML training across the company.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Create robust and resilient pipelines to process massive daily volumes of data created by vehicle fleets and simulation environments\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Build and support scalable pipelines as part of Torc’s Data Factory to deliver data for ML training at scale\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Scale Torc’s data lake through a distributed storage system, data crawling and discovery\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Promote and protect the integrity of data through validation, versioning, data provenance, and governance\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Support the expansion of Torc’s data lake through acquisition of additional data sets from internal and external sources\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Assist in the development and delivery of cloud-based solutions\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Collaborate with teams specializing in perception, planning, control, mapping and vehicle testing to develop solutions that support product delivery\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Support the implementation of emerging cloud-based capabilities that can extend our technology stack and improve our ability to build, deploy and test safety-critical software for self-driving vehicles\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Participate in the team’s on-call rotation to support our deployed systems during business hours\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Here’s a list of some of the technologies we use to make all the above happen:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Managed services powered by AWS (Lambda, SFN, Batch, EventBridge, Athena, Glue)\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Linux / Bash\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Docker\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Terraform\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Python\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;React/Javascript\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;On-Call Tooling (Datadog, AWS Cloudwatch)\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Databricks\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;What\u0026amp;nbsp;You’ll\u0026amp;nbsp;Need to Succeed\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul data-pm-slice=\u0026quot;3 3 []\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;BS/MS Degree in Computer Engineering, Computer Science, or related field\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Experience writing code using Python\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Practical experience with Docker and containerization\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;A strong commitment to test-driven development patterns, continuous integration and delivery, and infrastructure as code\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Experience with Linux and general bash scripting\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Experience deploying, troubleshooting, monitoring and maintaining Linux systems\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Bonus Points\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul data-pm-slice=\u0026quot;3 3 []\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Strong organizational, time management, and communication skills working with a team orientation and collaborative style\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Experience developing cloud-based serverless solutions\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Experience with pandas, numpy and other Python-based data analysis libraries and tooling\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Knowledge of AWS serverless architectures (Lambda, Batch, ECS Fargate, Glue, Athena)\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Experience with data storage and acquisition patterns for robotics and advanced driver assistance systems\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Knowledge of different database architectures, including but not limited to relational and NoSQL databases, vector stores, data warehousing and clustered, distributed data stores\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Experience with the Databricks platform, particularly for serving data, visualizations and jobs\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Experience with scaling data for ML and AI workloads using Ray\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Perks of Being a Full-time\u0026amp;nbsp;Torc’r\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A competitive compensation package that includes a bonus\u0026amp;nbsp;component\u0026amp;nbsp;and stock options\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;401K plan with a 6% employer match\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Flexibility in schedule and generous paid vacation (available\u0026amp;nbsp;immediately\u0026amp;nbsp;after\u0026amp;nbsp;start\u0026amp;nbsp;date)\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;AD+D and Life Insurance\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW173351755 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW173351755 BCX0\u0026quot;\u0026gt;At Torc,\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW173351755 BCX0\u0026quot;\u0026gt;we’re\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW173351755 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SpellingErrorV2Themed SCXW173351755 BCX0\u0026quot;\u0026gt;Torc’rs\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW173351755 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;LineBreakBlob BlobObject DragDrop SCXW173351755 BCX0\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;SCXW173351755 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;br class=\u0026quot;SCXW173351755 BCX0\u0026quot;\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW173351755 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW173351755 BCX0\u0026quot;\u0026gt;Even if you\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW173351755 BCX0\u0026quot;\u0026gt;don’t\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW173351755 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;EOP Selected SCXW173351755 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW260673298 BCX0\u0026quot;\u0026gt;Our compensation reflects the cost of labor across several geographic markets.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW260673298 BCX0\u0026quot;\u0026gt;Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW260673298 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW264561297 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW264561297 BCX0\u0026quot;\u0026gt;Job ID: 102861\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$114,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$137,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127083002,"name":"Data Loop and Simulation","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null},{"id":4028910002,"name":"Blacksburg - HQ","location":"Blacksburg, Virginia, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8649372002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8677422002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6466266002,"location":{"name":"Remote - US, Blacksburg, VA"},"metadata":null,"id":8677422002,"updated_at":"2026-10-01T15:50:40-04:00","requisition_id":"R-102913","title":"Software Engineer, II - Autonomy Data ","company_name":"Torc Robotics","first_published":"2026-08-05T18:58:36-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;About The Company:\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;a href=\u0026quot;https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftorc.ai%2Fdaimler-testing-automated-trucks-public%2F\u0026amp;amp;data=05%7C02%7Cdaniel.fernandez%40torc.ai%7C84f797806b9041922fbe08ded7ad59c1%7Ce4d36dd5ba5741279e35db396fecef04%7C1%7C0%7C639185336692782559%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C\u0026amp;amp;sdata=cv5GX%2FLHMQl4SyUqKzxhOPFX4dSvpqx47iBhWXI9JuE%3D\u0026amp;amp;reserved=0\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Hyperlink\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/a\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Meet The Team:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Torc is hiring an Autonomy Data Engineer Level 2 to help design, build and operate the data infrastructure that powers our autonomy program. You will build the pipelines, storage systems, and tooling that turn raw vehicle sensor logs into the curated, structured datasets that our perception, planning and simulation engineers depend on.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a high-ownership role on a lean team. Moving large scale sensor data reliably from vehicles operating in demanding environments and making it quickly available for model training is a difficult and high-impact problem to solve.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Do: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Data Lake and Ingestion Pipeline\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the design and organization of the program’s data lake, including schema definitions, partitioning strategy and metadata indexing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain end-to-end pipelines that ingest high-bandwidth sensor logs from vehicles into cloud storage with high reliability and tolerant of ad-hoc and intermittent connectivity mechanisms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement data validation and integrity checks that can detect corrupted information, missing sensors, and inconsistent calibration prior to the data being processed by downstream systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement retention, tiering and lifecycle policies for data to balance storage costs with development value.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Dataset Curation and Labeling Infrastructure\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build tooling to query raw logs to produce curated training and evaluation datasets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build automation to run cost-effective pseudo-labeling workflows at the scale of data ingest.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement data quality and model performance metrics that are used to direct labeling effort toward the highest-value examples.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Autonomy Data Visualization\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deploy and maintain data visualization tooling to support log review, annotation QA, and autonomy debugging workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build integrations between the visualization tooling and the data lake so engineers can navigate from a dataset entry or model failure directly to the origin log data\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with autonomy engineers to define and surface custom visualization panels and implement metrics for analyzing unstructured operating environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build dashboards that provide the autonomy engineers visibility into data coverage by terrain type, operating environment and geographic region.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cross-functional Collaboration\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish and document data contracts between the data services and model training consumers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with perception, planning and embedded engineers across the data lifecyle: from shaping the logging schemas and collection triggers to defining the dataset interfaces that supply model training and evaluation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Follow and help evolve data engineering standards, best practices, and tooling choices for an innovative and fast-paced team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the data roadmap and surface findings to senior technical leadership.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering or a related field with 4+ years of data engineering experience or a Master’s with 2+ years.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong proficiency in Python and SQL, with demonstrated ability to build production-quality data pipelines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud data infrastructure (AWS preferred: S3, Glue Athena, redshift, or equivalent) and infrastructure-as-code tools (Terraform, Cloud Formation).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid understanding of data partitioning strategies and columnar storage formats (Parquet, Orc, etc.)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building and operating data pipelines that process time-series and binary data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to evaluate and integrate open-source tooling when appropriate versus building from scratch.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Good instincts for delivering data quality through first-class implementations of monitoring, validation and lineage tracking.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus points!\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with autonomous vehicles, robotics, or other sensor-driven autonomous systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with Foxglove or Rerun beyond basic playback, e.g. building custom extensions or integrating them into a structured log review or annotation QA workflow.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with the MCAP CLI and/or python library and experience converting MCAP data to columnar data formats for further querying and processing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with data curation for ML training, e.g. diversity sampling, pseudo-labeling, and dataset versioning.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;U.S. Citizenship Requirement:\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;This position requires access to information and systems that are restricted under U.S. law. Accordingly, only U.S. citizens are eligible for this role. This requirement is based on applicable government regulations and is not related to immigration status discrimination.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Perks of Being a Full-time Torc’r\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;A competitive compensation package that includes a bonus component and stock options\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;401K plan with a 6% employer match\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Flexibility in schedule and generous paid vacation (available immediately after start date)\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Company-wide holiday office closures\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;AD+D and Life Insurance\u0026amp;nbsp;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;Job ID: R-102913\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$139,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$166,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127075002,"name":"Engineering","child_ids":[4127077002,4127080002,4127076002,4127078002,4127079002],"parent_id":null}],"offices":[{"id":4028910002,"name":"Blacksburg - HQ","location":"Blacksburg, Virginia, United States","child_ids":[],"parent_id":null},{"id":4045225002,"name":"Remote - US","location":null,"child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8677422002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8649374002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6454289002,"location":{"name":"Ann Arbor, MI, Blacksburg, Va"},"metadata":null,"id":8649374002,"updated_at":"2026-10-01T15:50:40-04:00","requisition_id":"R-102860","title":"Software Engineer, II - Data Engineering","company_name":"Torc Robotics","first_published":"2026-09-04T15:23:42-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;About the Company\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;/span\u0026gt;\u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Hyperlink\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/a\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;Meet the Team\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;Torc’s Data Engineering team is a highly collaborative group focused on building secure, scalable systems that let customers work with data easily and confidently. We operate as a distributed, remote first team, ensuring everyone has equal access to information and collaboration. Our work includes frequent touchpoints—daily standups, planning sessions, and ad hoc discussions over Zoom or Slack. Because we own our services end-to-end, each engineer participates in a business hour on call rotation. We prioritize healthy work/life balance and sustainable development over heroic efforts.\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;What You’ll Do\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;We are seeking a Software Engineer with experience in implementing and maintaining Linux and cloud-based data management solutions who is ready to extend that experience. In this role you will be working closely with other engineers on the implementation of AWS-native data ingestion, ETL, and storage solutions that power data driven analytics, simulation, and ML training across the enterprise.\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Create robust and resilient pipelines to process massive daily volumes of data created by vehicle fleets and simulation environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and support scalable pipelines as part of Torc’s Data Factory to delivery data for ML training at scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scale Torc’s data lake through a distributed storage system, data crawling and discovery\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote and protect the integrity of data through validation, versioning, data provenance, and governance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the expansion of Torc’s data lake through acquisition of additional data sets from internal and external sources\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the design, architecture and delivery of cloud-based solutions\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with teams specializing in perception, planning, control, mapping and vehicle testing to develop solutions that support product delivery\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the implementation of emerging cloud-based capabilities that can extend our technology stack and improve our ability to build, deploy and test safety-critical software for self-driving vehicles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in the team’s on-call rotation to support our deployed systems during business hours\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;Here’s a list of some of the technologies we use to make all the above happen:\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Managed services powered by AWS (Lambda, SFN, Batch, EventBridge, Athena, Glue)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Linux / Bash\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Docker\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Terraform\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Python\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;React/Javascript\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;On-Call Tooling (Datadog, AWS Cloudwatch)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;CI/CD Tooling (Jenkins, GitHub Actions)\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus\u0026amp;nbsp;demonstrates competences and technical proficiencies typically acquired through 4+ years of experience or;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus\u0026amp;nbsp;demonstrates competences and technical proficiencies typically acquired through 0-3+ years of experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience deploying, troubleshooting, monitoring and maintaining Linux systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building and maintaining workloads in public cloud environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of different database architectures, including but not limited to relational and NoSQL databases, vector stores, data warehousing and clustered, distributed data stores\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Practical experience with Linux and general bash scripting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Practical experience with Docker and containerization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implementation of workflow patterns using directed acyclic graphs (Apache Airflow, AWS Step Functions)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A strong commitment to test-driven development patterns, continuous integration and delivery, and infrastructure as code\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;Bonus Points\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong organizational, time management, and communication skills working with a team orientation and collaborative style\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with the Databricks platform, particularly for serving data, visualizations and jobs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with scaling data for ML and AI workloads using Ray\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with pandas, numpy and other Python-based data analysis libraries and tooling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep knowledge of AWS serverless architectures (Lambda, Batch, ECS Fargate, Glue, Athena)\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with data storage and acquisition patterns for robotics and advanced driver assistance systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own end-to-end architecture and delivery of cloud-based solutions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Perks of Being a Full-time Torc’r\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026amp;nbsp;\u0026amp;nbsp; \u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A competitive compensation package that includes a bonus component and stock options\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;401K plan with a 6% employer match\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Flexibility in schedule and generous paid vacation (available immediately after start date)\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;AD+D and Life Insurance\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW191601098 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW191601098 BCX0\u0026quot;\u0026gt;At Torc, \u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW191601098 BCX0\u0026quot;\u0026gt;we’re\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW191601098 BCX0\u0026quot;\u0026gt; committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our \u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SpellingErrorV2Themed SCXW191601098 BCX0\u0026quot;\u0026gt;Torc’rs\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW191601098 BCX0\u0026quot;\u0026gt; and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;LineBreakBlob BlobObject DragDrop SCXW191601098 BCX0\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;SCXW191601098 BCX0\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;br class=\u0026quot;SCXW191601098 BCX0\u0026quot;\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;TextRun SCXW191601098 BCX0\u0026quot; lang=\u0026quot;EN-US\u0026quot; data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW191601098 BCX0\u0026quot;\u0026gt;Even if you \u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW191601098 BCX0\u0026quot;\u0026gt;don’t\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW191601098 BCX0\u0026quot;\u0026gt; meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;EOP Selected SCXW191601098 BCX0\u0026quot; data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW111787133 BCX0\u0026quot;\u0026gt;Our compensation reflects the cost of labor across several geographic markets. \u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW111787133 BCX0\u0026quot;\u0026gt;Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.\u0026lt;/span\u0026gt; \u0026lt;span class=\u0026quot;NormalTextRun SCXW111787133 BCX0\u0026quot;\u0026gt;Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan.\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;NormalTextRun SCXW111787133 BCX0\u0026quot;\u0026gt; Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;Job ID: 102860\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$139,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$166,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127083002,"name":"Data Loop and Simulation","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null},{"id":4028910002,"name":"Blacksburg - HQ","location":"Blacksburg, Virginia, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8649374002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8789483002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6516393002,"location":{"name":"Ann Arbor, MI, Remote - US"},"metadata":null,"id":8789483002,"updated_at":"2026-10-21T13:54:20-04:00","requisition_id":"R-102971","title":"Software Engineer, II - Map Enablement","company_name":"Torc Robotics","first_published":"2026-09-17T16:05:02-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;About the Company\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt; \u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;/span\u0026gt;\u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Hyperlink\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/a\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.  Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Meet the Team:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Torc\u0026#39;s Map Enablement team is looking for a Software Engineer to help deliver and scale its mapping and routing system in preparation for Torc\u0026#39;s commercial expansion. A strong technical foundation in delivering data processing pipelines and APIs is important for this role, along with the judgment to make sound design decisions when requirements are loosely defined. This individual will collaborate with engineering teams that use Map Enablement\u0026#39;s software, creating tailored solutions and turning feedback into features.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;What You\u0026#39;ll Do:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Design and build scalable, cost-effective mapping and routing data pipelines and services in preparation for commercial launch.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Take ambiguous or partially-defined problems from internal customers and drive them to a concrete technical design, scoping tradeoffs independently before looping in senior engineers.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Work with Map Enablement and neighboring teams to understand customer needs and translate them into well-scoped features.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Participate in and provide substantive feedback on technical design and code reviews.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Promote operational excellence by implementing effective testing, monitoring, and alerting for Map Enablement\u0026#39;s services and pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Participate in the on-call rotation to support the health of our services.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Contribute to project planning, helping shape priorities based on customer expectations and technical constraints.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Uphold a culture of collaboration, transparency, creativity, inclusion, and data-driven decision-making.\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;What You\u0026#39;ll Need to Succeed:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 4+ years of experience OR\u0026amp;nbsp;Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 0-3+ years of experience\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;6\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Solid knowledge of at least one programming language (C++, Python), Python preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;6\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience with AWS services (S3, Lambda, Step Functions, IAM, EventBridge, Glue, Athena).\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;6\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience building and operating high-throughput data processing pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;6\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Demonstrated ability to work through vague or shifting requirements and independently propose a technical path forward.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;6\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Strong technical communication skills, written and verbal, that scale across a diverse workforce.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;6\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Strong problem-solving skills and the ability to analyze and debug complex software defects.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;6\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience with source control and agile workflows such as GitHub and JIRA.\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Bonus Points:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;7\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Understanding of geospatial data concepts and tools (GeoJSON, PostGIS, QGIS, OSM, etc.)\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;7\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Knowledge of machine learning techniques for geospatial data analysis\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;7\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience with high-definition mapping\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;7\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience scaling autonomous systems\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;7\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559683\u0026amp;quot;:0,\u0026amp;quot;335559684\u0026amp;quot;:-2,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Prior experience in navigation or the automotive industry\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:0,\u0026amp;quot;335551620\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Perks of Being a Full-time Torc’r\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:  \u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;A competitive compensation package that includes a bonus component and stock options\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;100% paid medical, dental, and vision premiums for full-time employees  \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;401K plan with a 6% employer match\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Flexibility in schedule and generous paid vacation (available immediately after start date)\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Company-wide holiday office closures\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;multilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;6\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;AD+D and Life Insurance \u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. \u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Job ID: 102971\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;Hiring Range for Job Opening:\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;US Pay Range\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335557856\u0026amp;quot;:16777215,\u0026amp;quot;335559738\u0026amp;quot;:240,\u0026amp;quot;335559739\u0026amp;quot;:240}\u0026quot;\u0026gt;$139,000 - $166,800\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4127083002,"name":"Data Loop and Simulation","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8789483002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8687664002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6470937002,"location":{"name":"Ann Arbor, MI"},"metadata":null,"id":8687664002,"updated_at":"2026-10-01T15:50:40-04:00","requisition_id":"R-102888","title":"Software Engineer II, Mission Interface","company_name":"Torc Robotics","first_published":"2026-10-01T12:13:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div id=\u0026quot;message-list_1790871081.331559\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;About the Company\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;br\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;span\u0026gt;\u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026lt;br\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Meet the Team\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;The Mission Interface Software Engineer plays a key role in delivering Vehicle Intent software into the automated driving system at Torc.\u0026amp;nbsp; This role focuses on developing high-quality, production-ready software that enables our Mission Control and Remote Assistance teams to interact with the self-driving truck’s software stack capabilities.\u0026amp;nbsp; In this position, you are expected to demonstrate technical leadership, operate with a high degree of autonomy, and drive cross-team initiatives across software, systems, and product domains.\u0026amp;nbsp; The software developed in this role directly enables communication with and command over our vehicles to sense their surroundings, respond intelligently when necessary, and help keep the system operating safely — advancing Torc’s mission to commercialize self-driving trucks for safe, sustained, long-haul innovation in the freight industry.\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;What You’ll Do\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design, implement, and optimize software that creates the interface between Autonomy and the Mission Control, Remote Assistance, Route Advisor, and On Truck Management systems to allow for mission management from planning, initiating, and updating missions to tracking progress and monitoring performance through telemetry\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the development of real-time C++ software components that that enable vehicle guidance and status monitoring of the self-driving truck\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate system-level requirements into robust, scalable software architectures and algorithms through corresponding component level requirements and verification artifacts\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to simulation and testing frameworks for validation of algorithms under diverse operational design domains (ODDs)\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with cross-functional teams (back office, perception, controls, safety) to ensure end-to-end system integration\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor and guide peers through technical reviews, best practices, and hands-on collaboration\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stay current with research in global route planning and analytical planning methods.\u0026amp;nbsp; Contribute to integration of machine learning techniques where appropriate (e.g., route-rerouting, learned cost models, behavior prediction, reinforcement learning for tactical decision making).\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive continuous improvement in software quality, safety, performance, and development processes\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support safety-critical development practices aligned with automotive standards and production release requirements\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communicate technical concepts clearly to non-technical stakeholders.\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 4+ years of experience or;\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 0-3+ years of experience.\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong C++ programming skills (C++14/17 or later) with experience in real-time, safety-critical, or high-performance applications\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of vehicle dynamics and kinematic models (e.g., bicycle model, Ackermann steering, dynamic feasibility)\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to write clean, maintainable, and testable code with an emphasis on software engineering best practices\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years experience with the architecting, design, and implementation of embedded software solutions leveraging these aspects:\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Producing scalable code in C++\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimizing code for speed, memory usage, etc.\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Validating the solutions by means of unit and/or systems level testing\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creating technical documentation to communicate solutions\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;Bonus Points\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with fundamental AV/ADAS components and concepts.\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with observability and visualization platforms (e.g., Datadog, Tableau, Foxglove) for telemetry monitoring, system performance analysis, or sensor/log data visualization\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2–5 years of professional Python development experience doing solid, hands-on Python development, including writing production-quality code, code reviews, and working within a larger codebase\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with robotic/autonomous frameworks (ROS/ROS2, Autoware, Apollo, etc.) and communication protocols like CAN and Ethernet\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of safety and software engineering standards (ISO 26262, SOTIF, ASPICE, CMMI) and validation methodologies\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can execute testing on various test platforms: software in the loop, hardware in the loop, and vehicle testing\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Research/industry experience in robotics or autonomy.\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;Perks of Being a Full-time Torc’r\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A competitive compensation package that includes a bonus component and stock options\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;401K plan with a 6% employer match\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Flexibility in schedule and generous paid vacation (available immediately after start date)\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AD+D and Life Insurance\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026lt;br\u0026gt;Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026lt;br\u0026gt;Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$139,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$166,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127082002,"name":"Autonomy","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8687664002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8720904002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6486129002,"location":{"name":"Remote, U.S, Ann Arbor, MI"},"metadata":null,"id":8720904002,"updated_at":"2026-10-01T15:50:40-04:00","requisition_id":"R-102945","title":"Staff, Machine Learning Engineer - BEV/Multi-Modal Perception","company_name":"Torc Robotics","first_published":"2026-09-04T12:52:57-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Company\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/a\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Meet the Team\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;As a Staff Machine Learning Engineer specializing in BEV (Bird\u0026#39;s-Eye View) and Multi-Modal Perception, you will lead the development of next-generation models that unify information across cameras, LiDAR and radar to deliver a rich spatial understanding of the driving environment. You will drive architectural innovation, large-scale model training, and data-driven improvements that directly advance the perception capabilities at the heart of Torc\u0026#39;s autonomous driving stack. This is a technical leadership role focused on model innovation and maturity, not downstream feature integration.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Do\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead BEV model development: define and execute the technical roadmap for BEV-based perception models across multiple tasks (e.g., detection, segmentation, road topology, and scene understanding).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design advanced multi-modal architectures that fuse heterogeneous sensor data (camera, LiDAR, radar, HD maps) into unified\u0026amp;nbsp;spatial representations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop foundational perception models leveraging BEV transformers, voxel-based encoders, or implicit scene\u0026amp;nbsp;representations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own large-scale training workflows — from data sampling strategies and augmentation pipelines to distributed training and\u0026amp;nbsp;hyperparameter optimization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advance model robustness and generalization, addressing long-tail conditions such as low visibility, occlusions, and rare scene\u0026amp;nbsp;configurations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish evaluation frameworks for geometric accuracy, temporal stability, and cross-domain transfer performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with sensor calibration, mapping, and fusion teams to ensure cohesive perception model\u0026amp;nbsp;interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor and guide ML engineers, cultivating best practices in experimentation, code quality, and model validation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stay at the forefront of ML research, exploring self-supervised learning, large-scale pretraining, or foundation models for 3D\u0026amp;nbsp;perception.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience in deep learning for perception, 3D vision, and/or autonomous systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or related field (or equivalent practical experience).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven expertise in BEV modeling, 3D scene understanding, and multi-view fusion.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong background in multi-modal sensor fusion, particularly integrating camera and LiDAR data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with large-scale data pipelines, distributed training, and experiment management systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated leadership in driving ML model innovation and mentoring technical teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with autonomous driving or robotics perception in production environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with MLOps and infrastructure tools (Ray).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on expertise in BEV-based ML architectures, LiDAR-vision fusion, or spatial-temporal modeling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with 3D labeling, calibration, and sensor simulation pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of publications or open-source contributions in top-tier venues (CVPR, ICCV, NeurIPS, ICRA, CoRL).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of performance tradeoffs and deployment constraints (latency, memory, accuracy).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Work Location: \u0026lt;/strong\u0026gt;For this position, we are open to hiring in Ann Arbor, MI in a hybrid capacity. We are also open to hiring Remote in the United States.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Perks of Being a Full-time Torc’r\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Torc cares about our team\u0026amp;nbsp;members\u0026amp;nbsp;and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A competitive compensation package that includes a bonus\u0026amp;nbsp;component\u0026amp;nbsp;and stock options\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026amp;nbsp; \u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AD+D and Life Insurance\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;At Torc,\u0026amp;nbsp;we’re\u0026amp;nbsp;committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our\u0026amp;nbsp;Torc’rs\u0026amp;nbsp;and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our compensation reflects the cost of labor across several geographic markets.\u0026amp;nbsp;Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.\u0026amp;nbsp;Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan.\u0026amp;nbsp;Dependent\u0026amp;nbsp;on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job ID: 102945\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$215,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$258,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127082002,"name":"Autonomy","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8720904002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8651134002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6455012002,"location":{"name":"Remote - US, Ann Arbor, MI "},"metadata":null,"id":8651134002,"updated_at":"2026-10-01T15:50:40-04:00","requisition_id":"R-102840","title":"Staff, ML Engineer - Scene Generation","company_name":"Torc Robotics","first_published":"2026-08-04T12:54:57-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 1\u0026quot;\u0026gt;About the Company\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559738\u0026amp;quot;:280,\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Hyperlink\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/a\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 1\u0026quot;\u0026gt;Meet the Team\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559738\u0026amp;quot;:280,\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Torc is marching towards its AV 3.0 strategy. The Scene Generation team builds sensor simulation based on Neural Rendering and generative models for Torc\u0026#39;s data-driven simulator. High-quality data from novel scenarios closes the domain data gap, solving one of the biggest challenges for safe autonomous driving. The team works on state-of-the-art approaches for Neural Rendering and data generation for camera, LiDAR, and Radar sensor data, contributing to Torc\u0026#39;s data workflow for training and validation across the complete AV stack. As Staff ML Engineer, you will lead this team, setting its technical direction and day-to-day priorities.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 1\u0026quot;\u0026gt;What You\u0026#39;ll Do\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559738\u0026amp;quot;:280,\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Serve as the team\u0026#39;s technical lead, owning key design decisions and driving consensus across engineers and stakeholders.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Set and own the technical vision and roadmap for the Scene Generation team\u0026#39;s Neural Rendering and generative modeling work, aligned to Torc\u0026#39;s AV 3.0 strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Lead the Scene Generation team day to day, prioritizing work, unblocking engineers, and making the final call on architecture and technical approach.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Implement and guide the team in applying the latest research advances in Neural Rendering and generative models.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Translate cutting edge research into production quality Camera, LiDAR, and Radar sensor simulation that scales perception simulation and AV 3.0 training.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Own the neural rendering framework end to end, from research, design, and implementation through testing, cloud integration, and deployment.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Understand the integration of the framework in a cloud environment and automate the pipeline to scale target verification and validation of our autonomous trucks.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Design, implement, test, and deploy shippable production quality software using disciplined software development processes, setting the technical bar for the team.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Work within the cloud machine learning ecosystem alongside other machine learning services across the company, owning integration and scaling decisions for the team\u0026#39;s pipeline.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Proactively assess current capabilities to identify areas for improvement, proposing and driving solutions that align with core strategy and operations.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Drive alignment across team interfaces to the rest of the organization, representing Scene Generation\u0026#39;s roadmap, priorities, and constraints to peer teams and leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Mentor, coach, and grow engineers on the team, and play an active role in hiring, onboarding, and career development for the group.\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:60}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 1\u0026quot;\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559738\u0026amp;quot;:280,\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;13\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 10+ years of experience \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;OR \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 7+ years of experience \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;OR PhD\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt; in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 5+ years of experience.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;13\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Proficiency in Python and deep learning frameworks such as PyTorch.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;13\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;PhD or equivalent work experience of 8+ years in a relevant field (CS, Robotics, Electrical Engineering), with industry experience shipping production software and leading technical teams.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;13\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching).\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;13\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience with production data in the context of robotics and/or autonomous driving\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;13\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Background in Computer Vision, Computer Graphics, 3D Reconstruction, or 3D Computer Vision.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;13\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience handling autonomous driving sensor data across multiple timestamps and sensor modalities, including cameras, LiDAR, and radar.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;13\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Recognized as an expert in the discipline, conducting complex, high impact work under minimal supervision and with wide latitude for independent judgment.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;13\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience with VDI and cloud-based machine learning development environments.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;13\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Demonstrated experience leading a team or serving as a technical lead, setting direction and driving consensus across engineers and stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;13\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Track record of mentoring and developing engineers, including more senior individual contributors.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;13\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Proven ability to design, maintain, and own team technical solutions, and to drive alignment across team interfaces to the rest of the organization.\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:60}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 1\u0026quot;\u0026gt;Bonus Points!\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559738\u0026amp;quot;:280,\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;25\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience with autonomous driving or robotics perception in production environments.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;25\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Proficiency with CUDA programming for efficient rendering of large-scale scenes.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;25\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Publications in top tier CV, AI, or Graphics conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, SIGGRAPH) or journals.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;25\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience with MLOps and infrastructure tools such as Ray.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;25\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Familiarity with 3D labeling, calibration, and sensor simulation pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;25\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Prior experience as a formal people manager or tech lead.\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:60}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 1\u0026quot;\u0026gt;Perks of Being a Full-time \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 1\u0026quot;\u0026gt;Torc\u0026#39;r\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559738\u0026amp;quot;:280,\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;31\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A competitive compensation package that includes a bonus component and stock options\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;31\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;31\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;401K plan with a 6% employer match\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;31\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Flexibility in schedule and generous paid vacation (available immediately after start date)\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;•\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:360,\u0026amp;quot;335559991\u0026amp;quot;:260,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;•\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;31\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;AD+D and Life Insurance\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:60}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;At Torc, we\u0026#39;re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc\u0026#39;rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don\u0026#39;t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026lt;/span\u0026gt;\u0026lt;/em\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559738\u0026amp;quot;:200,\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026lt;/span\u0026gt;\u0026lt;/em\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:120}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Job ID: R-102840\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$249,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$299,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127083002,"name":"Data Loop and Simulation","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null},{"id":4045225002,"name":"Remote - US","location":null,"child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8651134002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8613575002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6440136002,"location":{"name":"Blacksburg, VA, Remote - US "},"metadata":null,"id":8613575002,"updated_at":"2026-10-01T15:50:40-04:00","requisition_id":"R-102807","title":"Staff, Software Engineer - Motion Planning (Unstructured Environments)","company_name":"Torc Robotics","first_published":"2026-07-15T13:26:51-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;About The Company:\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;/span\u0026gt;\u0026lt;a href=\u0026quot;https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftorc.ai%2Fdaimler-testing-automated-trucks-public%2F\u0026amp;amp;data=05%7C02%7Cdaniel.fernandez%40torc.ai%7C84f797806b9041922fbe08ded7ad59c1%7Ce4d36dd5ba5741279e35db396fecef04%7C1%7C0%7C639185336692782559%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C\u0026amp;amp;sdata=cv5GX%2FLHMQl4SyUqKzxhOPFX4dSvpqx47iBhWXI9JuE%3D\u0026amp;amp;reserved=0\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Hyperlink\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/a\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Meet The Team:\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Torc is hiring a Staff Motion Planning Engineer to lead technical \u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;development for the planning, prediction, and decision-making systems that determine how our autonomous trucks navigate the world safely, efficiently, and predictably\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;. \u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Our team operates at the intersection of robotics, machine learning, optimization, simulation, and safety, building the core autonomy capabilities that translate perception into action.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;What You\u0026#39;ll Do:\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;This role is focused on motion planning, trajectory generation, and trajectory optimization for autonomous vehicles in unstructured environments. You will provide technical leadership across teams and platforms, driving architectural strategy, engineering excellence, and scalable system design.\u0026amp;nbsp; You will lead high-impact technical initiatives, influence long-term engineering direction, and contribute directly to the design, development, validation, and deployment of planning capabilities.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;This role operates at a multi-team level with broad organizational impact. You will work closely with engineers and leaders across autonomy, controls, simulation, safety, and validation to help deliver safe, robust, and reliable autonomy behaviors at scale.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Technical Leadership\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Defining and maintaining the architectural vision across teams, platforms, and services to ensure scalability, reliability, maintainability, long-term technical alignment, and consistency of software design patterns\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Supporting Engineering Managers and Senior ICs in resolving complex technical design, architecture, and implementation challenges across multiple domains while balancing feasibility against business objectives\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Establishing and promoting engineering best practices for code quality, automated testing, performance optimization, monitoring, security, and operational excellence\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Conducting architecture reviews, technical deep dives, design sessions, and technical assessments to guide engineering decisions and solution direction\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Mentoring and coaching senior and mid-level engineers while helping grow future Staff and Principal engineers through technical guidance and leadership development\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Fostering a culture of engineering excellence, documentation, collaboration, innovation, and knowledge sharing across the organization\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Translating complex technical concepts, trade-offs, and architectural decisions into clear recommendations for leadership and cross-functional stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Leading major technical initiatives such as platform modernization, observability enhancements, performance optimization, scalability improvements, and reliability engineering efforts\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Software Development\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Design, develop, and optimize motion planning algorithms including trajectory generation, trajectory selection, behavior planning, and optimization-based planning approaches for autonomous trucks.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Develop planning solutions leveraging techniques such as graph search, sampling-based planning, optimization-based planning, spline/B-spline trajectories, convex optimization, and Frenet-frame approaches.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Incorporate vehicle kinematic and dynamic constraints into planning systems to ensure safe, feasible, and comfortable vehicle behavior.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Develop production-quality software using modern C++ within a Linux environment while adhering to quality, safety, testing, and deployment best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Collaborate closely with Safety, Controls, Perception, Validation, and Simulation teams to develop safe and reliable autonomous driving behaviors.\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Testing, Integration, and Metrics\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Develop and execute validation strategies across Software-in-the-Loop (SiL), Hardware-in-the-Loop (HiL), and Vehicle-in-the-Loop (ViL) environments.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Investigate and debug vehicle behavior by reproducing issues in simulation, analyzing system performance, and implementing software improvements.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Support vehicle integration, deployment activities, and post-deployment investigations to ensure reliable autonomy performance.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Perform on-vehicle troubleshooting using real-time diagnostic tools and in-depth log analysis.\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;We are seeking a Software Engineer who is passionate about solving challenging autonomy problems and building production-quality software for real-world autonomous systems.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;What You\u0026#39;ll Need to Succeed:\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical field with:\u0026amp;nbsp;\u0026lt;/span\u0026gt;10+ years of industry experience OR Master\u0026#39;s degree with 7+ years of experience OR PhD with 5+ years of experience.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Proven experience operating as a Staff, Principal, or multi-team technical leader within complex engineering organizations including experience leading large cross-functional technical initiatives across multiple engineering teams\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Deep expertise developing robotics, autonomous vehicle, ADAS, or other complex real-time software systems.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Deep expertise in modern C++ development within Linux-based environments.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Diverse experience developing motion planning, trajectory generation, trajectory optimization, behavior planning, or decision-making systems for robotics or autonomous systems.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Strong understanding of vehicle dynamics, vehicle kinematics, trajectory feasibility, and planning system architecture.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Strong foundation in linear algebra, numerical optimization, geometry, and robotics algorithms.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Hands-on experience with analyzing metrics to optimize performance in a resource-constrained environment.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Excellent troubleshooting skills with the ability to perform both real-time diagnostics and in-depth post-analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Mastery of software engineering fundamentals, system design principles, and scalable development practices.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience with version control (Git), build systems, and package management.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Understanding of test automation principles and proficiency with unit testing and test automation frameworks (pytest, Robot Framework, gtest, etc.)\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Strong problem-solving skills and the ability to debug complex system-level issues.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Excellent communication and collaboration skills within cross-functional engineering teams.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;2\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Ability to work independently while contributing effectively within a highly collaborative environment.\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Bonus Points!\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience with Model Predictive Path Integral (MPPI), Model Predictive Control (MPC), convex optimization, quadratic programming (QP), nonlinear optimization, or other optimization-based planning techniques for autonomous vehicles.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience applying machine learning techniques such as imitation learning, reinforcement learning, or hybrid planning architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience integrating machine learning models into real-time or production systems.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience working with simulation platforms and large-scale autonomy validation environments.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience with robotics frameworks such as ROS/ROS2, Autoware, Apollo, or similar autonomy platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Exposure to CUDA, GPU acceleration, TensorRT, or high-performance compute environments.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Experience supporting on-vehicle testing, debugging, and deployment activities.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Passion for autonomous vehicles, robotics, and solving complex real-world engineering challenges.\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;3\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Contributions to open-source projects related to embedded Linux, robotics, or deployment automation.\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Work Location: \u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;For this position, we are open to hiring in our Blacksburg, VA office work location in a hybrid capacity.\u0026amp;nbsp; We are also open to hiring Remote in the United States \u0026amp;amp; Canada with semi-monthly travel to Blacksburg, VA.\u0026amp;nbsp; Some travel to Europe may be required.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;U.S. Citizenship Requirement:\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:0,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;This position requires access to information and systems that are restricted under U.S. law. Accordingly, only U.S. citizens are eligible for this role. This requirement is based on applicable government regulations and is not related to immigration status discrimination.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Perks of Being a Full-time Torc’r\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;A competitive compensation package that includes a bonus component and stock options\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026amp;nbsp; \u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;401K plan with a 6% employer match\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Flexibility in schedule and generous paid vacation (available immediately after start date)\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;Company-wide holiday office closures\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;4\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;AD+D and Life Insurance \u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:false,\u0026amp;quot;134233118\u0026amp;quot;:false,\u0026amp;quot;335551550\u0026amp;quot;:1,\u0026amp;quot;335551620\u0026amp;quot;:1,\u0026amp;quot;335559738\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:0}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{}\u0026quot;\u0026gt;Job ID: R-102807\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$186,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$223,400 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127075002,"name":"Engineering","child_ids":[4127077002,4127080002,4127076002,4127078002,4127079002],"parent_id":null}],"offices":[{"id":4028910002,"name":"Blacksburg - HQ","location":"Blacksburg, Virginia, United States","child_ids":[],"parent_id":null},{"id":4045225002,"name":"Remote - US","location":null,"child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8613575002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8790834002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6516905002,"location":{"name":"Remote - US, Ann Arbor, MI "},"metadata":null,"id":8790834002,"updated_at":"2026-10-01T15:50:40-04:00","requisition_id":"R-102979","title":"Staff, Software Engineer - Simulation Vehicle Modeling","company_name":"Torc Robotics","first_published":"2026-09-11T10:02:43-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Company\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\u0026amp;nbsp;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. \u0026lt;a href=\u0026quot;https://torc.ai/daimler-testing-automated-trucks-public/\u0026quot;\u0026gt;Now a part of the Daimler family\u0026lt;/a\u0026gt;, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;Meet the Team\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;At Torc, our simulation teams are building the foundation for AV 3.0 driver-out development and certification. This team serves as the critical technical interface between simulation/modeling and autonomy consumers. By ensuring model fidelity, coverage, and usability, the team plays a vital role in evaluating and advancing autonomous driving software. We support massive-scale, parallel execution for scaled verification and validation (V\u0026amp;amp;V) and high-throughput reinforcement learning (RL) training. Ultimately, we provide the framework and tooling that serves Autonomy, Safety, and Release with shared artifacts, common metrics, and deterministic reproducibility.\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Do\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own and evolve the technical architecture for scalable vehicle modeling and simulation — extensible across vehicle types, sensor platforms, and fleet variability as Torc\u0026#39;s autonomy program grows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and own high-fidelity truck and vehicle dynamics models (longitudinal, lateral, and transient behavior) spanning nominal, off-nominal, and failure-mode simulation domains.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and drive the statistical validation metrics that directly support Safety Case claims, ensuring model fidelity and coverage meet the bar required for driver-out certification.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and scale robustness testing frameworks — including controller/planner interaction testing — to stress-test autonomy software at the fidelity and throughput required for large-scale V\u0026amp;amp;V and RL training.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design, develop, and maintain high-fidelity simulation platforms used to validate autonomous driving software in closed-loop evaluation pipelines at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with autonomy engineering teams to capture and implement vehicle model requirements supporting planning, controls, and system-level V\u0026amp;amp;V activities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own model capability communication, known limitations, and release notes to enable effective autonomy validation across consuming teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure vehicle model updates don\u0026#39;t regress autonomy V\u0026amp;amp;V system performance, using automated regression frameworks you help define.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute full software development lifecycle activities primarily in C++ within a Linux environment and ROS/ROS2 tooling, applying Lean-Agile methodologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Perform root cause analysis on complex issues surfaced in simulation runs and hardware-in-the-loop testing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive test plan design for data acquisition and telemetry supporting field data collection and vehicle model refinement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Set direction for system-level test plans and verification strategies across the simulation org.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communicate technical direction, design decisions, and blockers clearly at stand-ups, design reviews, and cross-org architecture discussions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain collaborative relationships with OEM partners and simulation tool vendors to evaluate, integrate, and co-develop simulation capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor engineers across the simulation and autonomy domains and help raise the bar on code quality, process, and testing rigor.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s Degree in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, or a related technical field plus 10+ years of relevant experience; or Master\u0026#39;s Degree in the above fields plus 7+ years; or PhD plus 3+ years.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep proficiency in C++ (primary), Python for tooling, ROS/ROS2, CMake, and Linux.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong background in physics-based modeling of ground vehicles, including longitudinal/lateral dynamics, tire models, and powertrain.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of AV autonomy stack architecture — planning, controls, and system integration — to collaborate effectively with autonomy engineering teams and ensure vehicle models meet V\u0026amp;amp;V requirements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to translate vehicle model capabilities and limitations to autonomy engineering teams, and to capture their requirements to inform model fidelity improvement initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience defining statistical validation metrics and robustness testing frameworks used to support formal safety case claims.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with unit, integration, and regression testing, automated validation pipelines, and simulation-based performance benchmarking at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of driving technical consensus across simulation, autonomy, controls, product, and safety teams — this role is expected to help set direction, not just execute against it.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to own and maintain key technical systems across multiple repositories and contribute to cross-org architectural decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operates as an advanced-level professional with wide latitude for independent judgment and minimal supervision.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of mentoring engineers and contributing to technical direction within the simulation and autonomy domains.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;Bonus Points!\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience as technical lead for a vehicle simulation sub-team, driving architecture across vehicle types, sensor platforms, and fleet variability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with high-fidelity truck \u0026amp;amp; trailer or heavy-vehicle models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building or extending closed-loop autonomous vehicle simulation environments at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with scenario-based validation and sim-to-real correlation activities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with how learned models (neural networks) consume simulation and vehicle model outputs in autonomy V\u0026amp;amp;V workflows.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Perks of Being a Full-time Torc’r\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Torc cares about our team\u0026amp;nbsp;members\u0026amp;nbsp;and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A competitive compensation package that includes a bonus\u0026amp;nbsp;component\u0026amp;nbsp;and stock options\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;100% paid medical, dental, and vision premiums for full-time employees\u0026amp;nbsp; \u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AD+D and Life Insurance\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;At Torc,\u0026amp;nbsp;we’re\u0026amp;nbsp;committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our\u0026amp;nbsp;Torc’rs\u0026amp;nbsp;and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our compensation reflects the cost of labor across several geographic markets.\u0026amp;nbsp;Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.\u0026amp;nbsp;Torc\u0026#39;s total compensation package will also include our corporate bonus and stock option plan.\u0026amp;nbsp;Dependent\u0026amp;nbsp;on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job ID: R-102979\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$186,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$223,400 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4127083002,"name":"Data Loop and Simulation","child_ids":[],"parent_id":4127081002}],"offices":[{"id":4090542002,"name":"Ann Arbor","location":"Ann Arbor, Michigan, United States","child_ids":[],"parent_id":null},{"id":4045225002,"name":"Remote - US","location":null,"child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8790834002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8795413002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6518983002,"location":{"name":"Blacksburg, VA"},"metadata":null,"id":8795413002,"updated_at":"2026-10-08T12:35:30-04:00","requisition_id":"813","title":"Staff Systems Engineer","company_name":"Torc Robotics","first_published":"2026-09-10T10:48:23-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Job Duties: \u0026amp;nbsp;Lead and ensure the technical excellence of solutions delivered by the Metrics for Release and Hardware-in-the-Loop (HiL) groups and guide their integration within Torc\u0026#39;s self-driving product portfolio. Architect scalable platform systems for validating autonomous driving software, including orchestration of distributed compute workloads, telemetry pipelines, and results of delivery to downstream teams. Lead the integration of new and existing self-driving components and subsystems to enable the deployment of self-driving software onto Hardware-in-the-loop (HiL) benches. Maintain traceability between different levels of requirements and map them to verification tests throughout the product lifecycle. Leverage automated software testing pipelines and create requirements for new tools or automation to increase overall testing capabilities. Track and report system performance KPIs on a regular basis to provide insight into system performance to the rest of the organization. Operate as a recognized subject matter expert, driving alignment and influencing adoption of best practices, technology stacks, and standards beyond the immediate group. Mentor engineers across multiple teams on systems design, requirements engineering, and best practices.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Requirements:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Master’s Degree in Computer Engineering, Mechanical Engineering, Robotics, Electrical Engineering or related technical field with 4 years\u0026#39; experience in related systems engineering role, or alternatively Bachelor’s degree in Computer Engineering, Mechanical Engineering, Robotics, Electrical Engineering or related technical field with 6 years\u0026#39; in related systems engineering role. Experience must include: 1) systems engineering tools (Jama, Cameo) for architecture and requirements management; 2) Hardware-in-the-Loop (HiL) test planning, execution, and CI/CD automation; 3) Data analysis, visualization, and KPI reporting; 4) Troubleshooting and debugging of robotic, autonomous, or automotive systems; 5) Programming in Python, C++ and ROS (Robot Operating System); 6) CAN-based vehicle networking.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Position is located at HQ in Blacksburg, Virginia; availability to work anywhere in the U.S.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Salary: $163,800.00 - $245,700.00 USD Annual\u0026lt;/p\u0026gt;","departments":[{"id":4127075002,"name":"Engineering","child_ids":[4127077002,4127080002,4127076002,4127078002,4127079002],"parent_id":null}],"offices":[{"id":4028910002,"name":"Blacksburg - HQ","location":"Blacksburg, Virginia, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8795413002/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8832971002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":6535979002,"location":{"name":"Remote - US"},"metadata":null,"id":8832971002,"updated_at":"2026-10-08T16:41:53-04:00","requisition_id":"R-102997","title":"Vehicle V\u0026V Manager","company_name":"Torc Robotics","first_published":"2026-10-08T16:41:23-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What you will do:\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;As a Vehicle Test Manager, you will own the vehicle-level test strategy for our L4 autonomous trucks: writing test cases that verify requirements on closed courses and public roads, and post-processing vehicle data from ground truth and on-board systems to assess performance. You will lead a team of test engineers responsible for the verification of vehicle-level requirements using industry-standard vehicle test equipment and internally developed analysis tools. Your work is critical to closing Torc’s safety case and ensuring the product meets performance expectations.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define and implement the vehicle test strategy in accordance with relevant safety standards (e.g., ISO 26262, ISO 21448).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead and mentor a team of test engineers responsible for vehicle-level test case development and reporting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with systems engineering, software development, and test operations to establish vehicle verification and validation priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure requirement verifiability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive scenario-based testing methods to scale coverage across the operational design domain.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure the suitability and continuous improvement of vehicle test platforms and toolchains.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage test budgets, schedules, and resource allocation across multiple concurrent vehicle programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prioritize testing using upstream test results to surgically address risks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communicate test status, risks, and recommendations to leadership to support program decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent the vehicle test organization in program reviews, safety case reviews, and regulatory or customer audits.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate software tool qualification processes and stay current on emerging V\u0026amp;amp;V technologies for autonomous driving.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What you’ll need to succeed:\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;Bachelor\u0026#39;s degree in engineering or a related field with 6+ years of experience, or a Master\u0026#39;s degree with 4+ years of experience.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven experience managing vehicle-level testing for safety-critical products.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated leadership experience building and developing technical teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of quality, safety, and security standards (ASPICE, ISO 26262, ISO 21448, or equivalent).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with scenario-based verification and validation approaches for autonomous systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with industry-standard certification testing such as EuroNCAP.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical and data-driven problem-solving skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience processing vehicle data collected with ground truth equipment (e.g., high-precision GNSS/INS, LiDAR reference systems) used in ADAS/AV testing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication skills, with the ability to engage with cross-functional stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enthusiasm for tackling new challenges and applying state-of-the-art V\u0026amp;amp;V approaches.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hiring Range for Job Opening\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;US Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$160,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$193,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4139672002,"name":"System V\u0026V and Release","child_ids":[],"parent_id":4127089002}],"offices":[{"id":4045225002,"name":"Remote - US","location":null,"child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app2.greenhouse.io/ai_opt_out_request/job_post/8832971002/ai_opt_out"}],"meta":{"total":47}}