Internship, Fullstack Engineer, Optimus AI Tooling (Winter/Spring 2026)
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![]() United States, California, Palo Alto | |
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What to Expect
Consider before submitting an application: This position is expected to start around January 2026 and continue through the Winter/Spring term (ending approximately May 2026) or continuing into Summer 2026 if available and there is an opportunity to do so.We ask for a minimum of 12 weeks, full-time and on-site, for most internships.Our internship program is for students who are actively enrolled in an academic program.Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not internships. 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. About the Team As a member of the Optimus AI Tooling team you will design and implement a diverse set of tools that power our machine learning workflows for our humanoid robots. The systems you build will have a large impact on the entire lifecycle of model development. This includes data processing, data discovery, annotation, and visualization. This also includes tools that help us automate the entire workflows of labeling, validation, and operation of fleets of Optimus bots. As an intern on the AI Tooling team, you bring top-notch software engineering skills and can contribute to our tooling systems immediately. A strong candidate for the AI Tooling team will be an excellent software generalist who can comfortably work across the stack on backend and frontend systems. You should leverage the latest in AI coding tools to help you rapidly ship highly reliable code. What You'll Do
What You'll Bring
Compensation and Benefits Benefits
As a full-time Tesla Intern, you will be eligible for:
Expected Compensation
$50.12 - $56.13/hour + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. |