Intern, Embedded Software Engineer, Optimus (Fall 2026) - Palo Alto [273272]

$20.00 - $60.00 hourly

Job Description

Consider before submitting an application

This position is expected to start August or September 2026 and continue through fall term (ending approximately December 2026) or continuing into Winter/Spring 2027 if available and there is an opportunity to do so. We ask for a minimum of 12 weeks, full-time (40 hours/week) and on-site, for most Interns. Our Intern 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 Interns.

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

Tesla is on a path to building humanoid robots at scale to automate repetitive and boring tasks. We are looking for an embedded software intern to develop embedded platform drivers and application layer code for various robotics applications on our Optimus platform.

In this role, you will develop scalable drivers to interface with an ASIC or bring up a new communication protocol or optimize existing drivers to improve performance or write application-level modules to achieve a specific function on a given subsystem.

The robotics firmware team is small, passionate, and fast-moving. Come join a team of deeply knowledgeable engineers that strive to build the most robust and reliable embedded systems using cutting edge software development tools and practices.

The Role

  • Development of scalable real-time embedded software that implements sensing, control and safety management of the Tesla Bot actuators
  • Bring up new sensors, communication networks, and new PCBA for various robotic applications
  • Develop automated tests to ensure high quality software releases and accurate functionality
Anthony Antonucci

Qualifications

Relevant experience in Tesla AI; strong problem-solving skills; commitment to Tesla mission.

Immediate Fill

No