What to Expect

Consider before submitting an application:   

This position is expected to start around January 2025 and continue through the entire Winter term (i.e. through May 2025) or into Summer 2025 if available. We ask for a minimum of 12 weeks, full-time and on-site, for most 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. 

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.  

About the Team

As a member of the Dojo Machine Learning team, you will be 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. Work with many of the same great engineers who delivered Tesla’s custom FSD Computer. The ideal candidate has experience with writing software for large distributed systems.

What You’ll Do
Understand and model the end-to-end training performance of the Autopilot Software team’s Pytorch-derived neural networks on the Dojo system
Develop software that scales and improves training performance based on your analysis of the bottlenecks
Collaborate with the Dojo HW team to understand current HW architecture and propose future improvements
What You’ll Bring
Pursuing a degree in Computer Science, Computer Engineering, or relevant field of study with a graduation date between 2025 -2026 
Must be able to relocate and work on site in Palo Alto, CA 
Strong C++ skills are required
Experience with Python and distributed systems is very helpful
Familiarity with neural networks or the internals of Pytorch is nice to have
Performance analysis experience
Experience coding parallel programs

PALO ALTO, California

Intern/Apprentice