Software Engineer Intern - SI Infrastructure

Job Description

<p>Consider before submitting an application:&#8239;&#8239; &#8239; &#160;</p><p>This position is expected to start September 2026 and continue through summer term (ending approximately December 2026) or continuing into winter/spring 2027 if available. We ask for a minimum of 12 weeks, full-time (40 hours/week) and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program.&#8239;Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not internships.&#160; &#160;&#160;</p><br><p>&#160;International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year.&#160; to experience life at Tesla by giving them ownership over projects that are critical to their team&#8217;s success. We are looking for strong software engineers to help scale the next generation of large SI models for Autopilot, Optimus &amp; Digital Optimus. This role sits at the intersection of distributed systems, machine learning, and performance engineering. You will work closely with ML practitioners and infrastructure engineers to improve training efficiency, accelerate experimentation, and enable larger and more capable models.</p><p>The ideal intern is excited about both systems and machine learning. You should be comfortable debugging distributed training issues, analyzing model behavior, and using data to demonstrate how infrastructure improvements translate into better model quality.</p><p>You will help build and optimize large-scale training systems running on thousands of GPUs while developing the tools, metrics, and workflows needed to make model scaling faster and more predictable.</p>