{"absolute_url":"https://job-boards.greenhouse.io/xai/jobs/5193037007","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":4659328007,"location":{"name":"Palo Alto, California"},"metadata":[{"id":22659078007,"name":"Job Description via Google Doc URL [please share with Olivia]","value":"https://docs.google.com/document/d/1QXWO3u3AQN1YHbq1uVlKAwXQ7r9QRhi8QGi_sdDw3Hg/edit?tab=t.0","value_type":"short_text"},{"id":16340689007,"name":"Featured Role","value":null,"value_type":"yes_no"}],"id":5193037007,"updated_at":"2026-08-27T18:09:48-04:00","requisition_id":"1076","title":"ML Infrastructure Engineer","company_name":"SpaceXAI","first_published":"2026-07-21T23:49:23-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, helvetica, sans-serif;\u0026quot;\u0026gt;SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, helvetica, sans-serif;\u0026quot;\u0026gt;Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. \u0026lt;/span\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, helvetica, sans-serif;\u0026quot;\u0026gt;We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. \u0026lt;/span\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, helvetica, sans-serif;\u0026quot;\u0026gt;All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;h3 data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, helvetica, sans-serif;\u0026quot;\u0026gt;ABOUT THE ROLE:\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As an ML Infrastructure Engineer, you will play a pivotal role in building and optimizing the reliable, high-performance ML platform that powers recommendations on X. We\u0026#39;re looking for exceptional engineers who are passionate about our mission and have a strong desire to make a meaningful impact.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, helvetica, sans-serif;\u0026quot;\u0026gt;RESPONSIBILITIES:\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Designing, building, and scaling GPU compute infrastructure, training frameworks, and experimentation tools to enable rapid iteration on ML hypotheses\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Developing data pipelines and integrating large-scale data, training, and inference systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborating with ML teams to productionize models and ensure seamless integration across the stack\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensuring scalability, reliability, and efficiency of large-scale machine learning systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working across the full stack to solve complex problems independently\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentoring junior engineers and contributing to the growth of the team\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, helvetica, sans-serif;\u0026quot;\u0026gt;BASIC QUALIFICATIONS:\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor, Master, Post-graduate or PhD in computer science, machine learning, or other quantitative discipline; or equivalent work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2+ years of industry experience working with high traffic or large-scale production environments, distributed systems, GPU infrastructure, and/or deep learning applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2+ years experience with ML platforms, training infrastructure, or close collaboration with modeling engineers and data scientists\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong proficiency with Python and experience with compiled languages such as C++ or Rust\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, helvetica, sans-serif;\u0026quot;\u0026gt;PREFERRED SKILLS AND EXPERIENCE:\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deep familiarity with modern ML frameworks such as JAX or PyTorch\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Low-level understanding of compute systems, including distributed storage, NVIDIA drivers, CUDA toolkits, and networking\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable with Linux systems and orchestration tools\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with job schedulers (e.g., Slurm), configuration management (Puppet/Ansible), or related infrastructure tooling\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, helvetica, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;COMPENSATION AND BENEFITS:\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, helvetica, sans-serif;\u0026quot;\u0026gt;$180,000 - $440,000 USD\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, helvetica, sans-serif;\u0026quot;\u0026gt;Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short \u0026amp;amp; long-term disability insurance, life insurance, and various other discounts and perks.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;SpaceXAI is an equal opportunity employer. For details on data processing, view our \u0026lt;/em\u0026gt;\u0026lt;em\u0026gt;\u0026lt;a href=\u0026quot;https://x.ai/legal/recruitment-privacy-notice\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;Recruitment Privacy Notice\u0026lt;/a\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4024733007,"name":"Engineering","child_ids":[4064292007,4064383007,4064385007,4046294007,4052172007,4046295007],"parent_id":null}],"offices":[{"id":4035106007,"name":"Palo Alto, CA","location":"Palo Alto, California","child_ids":[],"parent_id":4054926007}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null}