Consider before submitting an application:

This position is expected to start around August 2024 and continue through the entire Fall term (i.e through December 2024) or into Spring 2025 if available. We ask for a minimum of 12 weeks, full-time (40 hours/week) and on-site, for most internships.

International Students: If your work authorization is through CPT, please consult your school before applying. You must be able to work 40 hours per week. Many students will be limited to part-time during the academic year.

The Internship Recruiting Team is driven by the passion to recognize and develop emerging talent. Our year-round program places the best students in positions where they will grow technically, professionally, and personally through their experience working closely with their Manager, Mentor, and team. We are dedicated to providing an experience that allows the intern to experience life at Tesla by including them in projects that are critical to their team's success.

Location: Palo Alto, CA

• The Autopilot Core Silicon and Platform Software team enables Tesla's custom AI system on Chip platform that powers autonomy in vehicle and robots.
• The DOJO Systems engineering team to design, test, and deploy custom AI compute hardware. Help develop management software that scales, from custom embedded firmware to high-level webservice APIs.
• The DOJO Machine Learning team is responsible for enabling Tesla's neural networks to train efficiently on our upcoming in-house custom-silicon supercomputer systems. Join a small team of experienced developers in optimizing and scaling the deployment of our Pytorch-derived neural networks on Tesla's custom massively parallel Dojo accelerators.
• The Sensor Machine Learning team works on developing perception algorithms for Tesla sensors. The work involves algorithm development, data analysis, and embedded code development.

• Currently pursuing a degree in Computer Engineering, Electrical Engineering, or a related field
• Strong C/C programming skills
• Experience working and debugging complex, distributed software systems
• Comfortable analyzing data to improve design and performance of a system
• Understanding of hardware and software development processes
• Experience with Ethernet or CAN communication protocols is preferred

Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

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