{"jobs":[{"absolute_url":"https://job-boards.greenhouse.io/didi/jobs/8001906","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":3338308,"location":{"name":"San Jose, CA"},"metadata":null,"id":8001906,"updated_at":"2026-06-11T18:27:45-04:00","requisition_id":null,"title":"Senior/Staff System Safety Engineer, Autonomy","company_name":"DiDi Labs","first_published":"2026-06-11T18:27:45-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p class=\u0026quot;ql-direction-ltr ql-long-10000202573\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000202573\u0026quot;\u0026gt;About The Company\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;ql-direction-ltr ql-long-10000202573\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000202573\u0026quot;\u0026gt;DiDi\u0026#39;s autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R\u0026amp;amp;D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi\u0026#39;s specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;ql-direction-ltr ql-long-10000202573\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;ql-direction-ltr ql-long-10000202573\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000202573\u0026quot;\u0026gt;About The Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;ql-direction-ltr ql-long-10000202573\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000202573\u0026quot;\u0026gt;We are seeking an experienced and mission-driven \u0026lt;strong\u0026gt;Senior/Staff System Safety Engineer, Autonomy\u0026amp;nbsp;t\u0026lt;/strong\u0026gt;o lead the safety strategy and deployment readiness of our fully autonomous driving systems. In this role, you will define and implement the safety frameworks, release policies, and system-level engineering processes that enable safe and scalable unmanned operations. You will act as a technical leader in system safety, ensuring that our vehicles meet rigorous safety standards while advancing toward large-scale commercial deployment.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;ql-direction-ltr ql-long-10000202573\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000202573\u0026quot;\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000202573\u0026quot;\u0026gt;Own the safety evaluation and release strategy for unmanned autonomous driving operations, defining clear criteria for system release, degradation, and fallback under varying operating conditions.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000202573\u0026quot;\u0026gt;Design, implement, and champion the safety-related systems engineering framework, including safety requirements, system architecture, and Verification \u0026amp;amp; Validation (V\u0026amp;amp;V) plans.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000202573\u0026quot;\u0026gt;Conduct systematic assessments of unmanned operational workflows, emergency protocols, and supporting tools/platforms to ensure safety and operational completeness.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000202573\u0026quot;\u0026gt;Develop and institutionalize safety evaluation methodologies and metrics frameworks, translating safety goals into quantifiable, verifiable, and continuously tracked indicators.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000202573\u0026quot;\u0026gt;Serve as the technical lead for safety-related incident review and analysis during unmanned operations, driving continuous improvements in system design, test coverage, and operational procedures.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000202573\u0026quot;\u0026gt;Collaborate cross-functionally with Software, Product, Operations, and Safety teams to support leadership decisions regarding unmanned deployment, city expansion, and operational scaling.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;ql-direction-ltr ql-long-10000202573\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000202573\u0026quot;\u0026gt;Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000202573\u0026quot;\u0026gt;Bachelor’s or higher degree in Computer Science, Software Engineering, Systems Engineering, or a closely related technical field.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000202573\u0026quot;\u0026gt;3-5 years of industry experience in systems engineering, safety engineering, autonomous systems, or a directly related field.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000202573\u0026quot;\u0026gt;Strong systems thinking with the ability to decompose complex safety challenges and drive practical, scalable solutions.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000202573\u0026quot;\u0026gt;Demonstrated ability to collaborate across teams, influence stakeholders, and take ownership of safety outcomes.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000202573\u0026quot;\u0026gt;Experience working in a fast-paced environment with multiple parallel projects and ambiguous requirements.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;ql-direction-ltr ql-long-10000202573\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000202573\u0026quot;\u0026gt;Preferred Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000202573\u0026quot;\u0026gt;Professional experience in safety-critical autonomous vehicle deployment or large-scale robotic systems operations.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000202573\u0026quot;\u0026gt;Background in functional safety (ISO 26262, SOTIF) or safety assurance of unmanned systems.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000202573\u0026quot;\u0026gt;Hands-on experience with safety validation tools, simulation-based V\u0026amp;amp;V, or operational safety monitoring platforms.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000202573\u0026quot;\u0026gt;Proven track record of defining release policies or safety readiness criteria for real-world autonomous systems.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p class=\u0026quot;ql-direction-ltr ql-long-10000202573\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;ql-direction-ltr ql-long-10000202573\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000202573\u0026quot;\u0026gt;The base salary range for this full-time position is $148,594-247,038 (Senior Engineer) and $178,286-296,400 (Staff Engineer) annually in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;ql-direction-ltr ql-long-10000202573\u0026quot;\u0026gt;\u0026lt;em class=\u0026quot;ql-author-10000202573\u0026quot;\u0026gt;I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on \u0026lt;/em\u0026gt;\u0026lt;a class=\u0026quot;ql-link ql-author-10000202573\u0026quot; href=\u0026quot;https://v.didi.cn/AQnxlBa\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;\u0026lt;em\u0026gt;https://v.didi.cn/AQnxlBa\u0026lt;/em\u0026gt;\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":83470,"name":"System Engineering","child_ids":[],"parent_id":300761}],"offices":[{"id":24375,"name":"Silicon Valley","location":"Mountain View, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/didi/jobs/7762773","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":3400654,"location":{"name":"San Jose, CA"},"metadata":null,"id":7762773,"updated_at":"2026-05-14T20:19:41-04:00","requisition_id":null,"title":"Software Engineer II","company_name":"DiDi Labs","first_published":"2026-03-27T21:16:57-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job title:\u0026lt;/strong\u0026gt; \u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp; \u0026lt;br\u0026gt;Software Engineer II\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job Location\u0026lt;/strong\u0026gt;: \u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp; \u0026lt;br\u0026gt;San Jose, CA 95134\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Salary:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp; \u0026lt;br\u0026gt;$135,960 - $182,520\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job duties:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp; \u0026lt;br\u0026gt;Design and develop robotic simulation systems to verify autonomous driving algorithms before real-world driving tests. Design highly-scalable software to run simulation jobs in the cloud and provide tools for other developers to analyze simulation results. Collaborate with software and research engineers to design scenarios and metrics to predict real-world performance of autonomous driving algorithms.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements:\u0026lt;/strong\u0026gt; \u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp; \u0026lt;br\u0026gt;Master\u0026#39;s degree in Software Engineering, Computer Science, or related. Requires skills and experience to involve:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deep software programming skills and proficiency in C++ and Python.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience with highly complex simulation systems for autonomous vehicles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated knowledge of Docker, Apache HTTP Server, Apache Kafka, Apache Spark, Apache Flink, Django, MySQL, and MongoDB.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep knowledge in complex software architecture, Linux OS, and software performance analysis..\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Please Apply online at boards.greenhouse.io/didi\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-shimo-docs=\u0026quot;[[20,\u0026amp;quot;#LI-DNI\u0026amp;quot;,\u0026amp;quot;0:\\\u0026amp;quot;%23494949\\\u0026amp;quot;|1:\\\u0026amp;quot;%23f9eda6\\\u0026amp;quot;\u0026amp;quot;]]\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;ql-author-89816\u0026quot;\u0026gt;#LI-DNI\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":300762,"name":"Planning US","child_ids":[],"parent_id":300761}],"offices":[{"id":24375,"name":"Silicon Valley","location":"Mountain View, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/didi/jobs/7991538","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_required","internal_job_id":3466792,"location":{"name":"San Jose, CA"},"metadata":null,"id":7991538,"updated_at":"2026-06-08T18:15:37-04:00","requisition_id":null,"title":"Software Engineer – Map Fusion \u0026 Planning","company_name":"DiDi Labs","first_published":"2026-06-08T18:15:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p class=\u0026quot;ql-direction-ltr ql-long-10000202573\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000202573 ql-size-12 ql-font-arial\u0026quot;\u0026gt;About the Company\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;ql-direction-ltr ql-long-10000202573\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000202573 ql-size-12 ql-font-arial\u0026quot;\u0026gt;DiDi\u0026#39;s autonomous driving unit was established in 2016 with the mission of developing \u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000202573 ql-size-12 ql-font-arial\u0026quot;\u0026gt;Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R\u0026amp;amp;D, product application, and business expansion. \u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;ql-size-12 ql-font-microsoftyahei ql-author-10000202573\u0026quot;\u0026gt;We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi\u0026#39;s specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;ql-direction-ltr ql-long-10000202573\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000202573 ql-size-12 ql-font-arial\u0026quot;\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;ql-direction-ltr ql-long-10000452787\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;We are seeking a \u0026lt;/span\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;Software Engineer / Senior Software Engineer\u0026lt;em\u0026gt; \u0026lt;/em\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;to develop the next-generation map fusion and motion planning systems for our autonomous vehicles. In this role, you will bridge the gap between semantic HD maps, real-time sensor perception, and vehicle trajectory generation. You will design scalable software infrastructure, implement advanced geometric and deep learning frameworks, and develop the planning algorithms that enable our vehicles to navigate complex, dynamic environments safely and predictably.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;ql-direction-ltr ql-long-10000202573\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;ql-direction-ltr ql-long-10000202573\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000202573 ql-size-12 ql-font-arial\u0026quot;\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;System Architecture\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;: Architect the data flow pipelines and APIs for map fusion, real-time map vectorization, and behavior/motion planning modules.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;Algorithm Deployment\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;: Design and deploy robust software frameworks that integrate offline High-Definition (HD) maps with online perception data to create a unified local environment model.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;Advanced Mapping Networks\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;: Implement and optimize state-of-the-art networks utilizing DETR-style, query-based vector decoding in bird\u0026#39;s-eye-view (BEV) for online map element generation.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;Motion Planning \u0026amp;amp; Optimization\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;: Design, implement, and validate core motion planning algorithms, establishing a tight feedback loop between vectorized map features, path generation, and trajectory optimization.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;Model Deployment Pipelines\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;: Own the end-to-end deployment pipeline for deep learning mapping models—from Python-based training and ONNX optimization to highly efficient runtime execution in C++.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;Safety \u0026amp;amp; Anomaly Detection\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;: Develop real-time map anomaly and scene-change detection algorithms to ensure planning system reliability under varying or outdated map conditions.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;Performance Optimization\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;: Optimize system latency, CPU/GPU memory footprint, and multi-threaded execution of safety-critical C++ modules.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p class=\u0026quot;ql-direction-ltr ql-long-10000202573\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;ql-direction-ltr ql-long-10000202573\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000202573 ql-size-12 ql-font-arial\u0026quot;\u0026gt;Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;Education:\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt; B.S./M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;Experience: \u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;3+ years (Software Engineer) / 5+ years (Senior Software Engineer) of experience in autonomous driving, robotics architecture, or spatial computing.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;Software Mastery:\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt; Expert proficiency in production-grade C++ (Modern C++14/17/20, multi-threading, memory management) and strong prototyping proficiency in Python.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;Motion Planning Fundamentals:\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt; Robust foundational knowledge in path planning (e.g., A*, Dijkstra, Hybrid A*, sampling-based planners like RRT*) and kinematic/dynamic vehicle models.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;Robotics Core:\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt; Deep understanding of robotics fundamentals, including coordinate transformations, spatial geometry, and state estimation.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;System Design:\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt; Strong system design skills with a solid understanding of middleware (e.g., ROS2, DDS) and distributed software architectures.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p class=\u0026quot;ql-direction-ltr ql-long-10000202573\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;ql-direction-ltr ql-long-10000202573\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000202573 ql-size-12 ql-font-arial\u0026quot;\u0026gt;Preferred Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;Trajectory Optimization:\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt; Hands-on experience with numerical trajectory optimization methods (e.g., MPC, QP/Nonlinear optimization, interior-point methods) and optimization solvers (e.g., OSQP, Ipopt, Ceres Solver).\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;Advanced Mapping Experience:\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt; Hands-on experience working with HD map formats (Lanelet2, OpenDRIVE) and modern end-to-end learning frameworks (e.g., MapTR, VectorNet) that leverage query-based BEV perception.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;Deep Learning Runtime \u0026amp;amp; Deployment:\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt; Proven track record of exporting complex deep learning architectures via ONNX and deploying them into real-time C++ production environments using TensorRT.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;Anomaly Detection:\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt; Proven track record of developing algorithms for map anomaly detection, sensor-to-map misalignments, or online scene-change identification.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt;Safety-Critical Systems:\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;ql-author-10000452787\u0026quot;\u0026gt; Knowledge of real-time operating systems (RTOS), deterministic software execution, and safety-critical software design principles.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;The base salary range for this full-time position is $129,189-$214,776\u0026amp;nbsp;annually\u0026amp;nbsp;in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on\u0026amp;nbsp;\u0026lt;a href=\u0026quot;https://v.didi.cn/AQnxlBa\u0026quot;\u0026gt;https://v.didi.cn/AQnxlBa\u0026lt;/a\u0026gt;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":300762,"name":"Planning US","child_ids":[],"parent_id":300761}],"offices":[{"id":24375,"name":"Silicon Valley","location":"Mountain View, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/didi/jobs/8001908","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":3264830,"location":{"name":"San Jose, CA"},"metadata":null,"id":8001908,"updated_at":"2026-06-11T18:29:50-04:00","requisition_id":null,"title":"Software Engineer – Motion \u0026 Behavioral Planning ","company_name":"DiDi Labs","first_published":"2026-06-11T18:29:50-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About The Company\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;DiDi\u0026#39;s autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R\u0026amp;amp;D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi\u0026#39;s specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;About The Role\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;We are seeking a\u0026amp;nbsp;\u0026lt;strong\u0026gt;Software Engineer /Sr. Software Engineer\u0026lt;/strong\u0026gt; to join our team and develop the core decision-making and motion planning systems for our autonomous vehicles. In this role, you will be responsible for creating the algorithms that enable smooth, safe, and intelligent navigation in complex environments. You will tackle challenges across the full motion planning stack, from high-level behavioral reasoning to low-level trajectory optimization.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and implement the core Behavioral Planning logic that determines the vehicle\u0026#39;s high-level actions (e.g., lane changes, merges, yields, and interactions with other agents).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and optimize the motion planning algorithms that execute behavioral decisions, integrating Geometry Reasoning (path) and Speed Reasoning (velocity) into a cohesive trajectory.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Architect and enhance the geometry system for generating geometrically feasible and compliant paths.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Architect and refine the velocity system for generating context-aware, comfortable, and safe velocity profiles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Model complex driving scenarios and agent interactions to create a robust world model for the behavioral planner.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design different costs for trajectory ranking to trade off ETAs, comfort and safety of the vehicle behaviors.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct in-depth analysis, testing, and debugging of the system\u0026#39;s performance in various scenarios, leading root cause investigations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with Prediction, Perception, and Control teams to ensure a seamless flow from environmental understanding to physical vehicle motion.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Qualifications\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;B.S./M.S. in Computer Science, Robotics, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in autonomous systems, robotics, or automotive software development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strong proficiency in C++\u0026lt;/strong\u0026gt;\u0026amp;nbsp;for implementing complex, real-time algorithms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid understanding of robotics fundamentals, including decision-making, motion planning, control theory, trajectory ranking, search and optimization algorithms etc.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Related experience in one or more of the following: behavioral planning, motion planning, behavior and world environment reasoning, trajectory ranking and cost design.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD or internship experience related to robotics planning system designs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of vehicle dynamics and longitudinal/lateral control systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid understanding of machine learning principles, reinforcement learning and related algorithms.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;The base salary range for this position is $129,189-$214,776 for Software Engineer and $148,594-247,038 for Sr. Software Engineer, annually in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;em\u0026gt;I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on \u0026lt;a class=\u0026quot;riUkhhEIAtDiibzrlddIVaKubAlAoKyg \u0026quot; href=\u0026quot;https://v.didi.cn/AQnxlBa\u0026quot; target=\u0026quot;_blank\u0026quot; data-test-app-aware-link=\u0026quot;\u0026quot;\u0026gt;https://v.didi.cn/AQnxlBa\u0026lt;/a\u0026gt;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":300762,"name":"Planning US","child_ids":[],"parent_id":300761}],"offices":[{"id":24375,"name":"Silicon Valley","location":"Mountain View, California, United States","child_ids":[],"parent_id":null}]}],"meta":{"total":4}}