Tesla Internship Software Compiler Engineer AI Inference Winter/Spring 

United States, California, Palo Alto 

305721471

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

In this role, you will be responsible for the internalworking of the AI inference stack and compiler running neural networks inmillions of Tesla vehicles and Optimus. You will collaborate closely with theAI Engineers and Hardware Engineers to understand the full inference stack anddesign the compiler to extract the maximum performance out of ourhardware.

• Take ownership of parts of AI Inference stack (Export/Compiler/Runtime) (flexible, based on skills/interests/needs)
• Closely collaborate with AI team to guide them on the design and the development of Neural Networks into production
• Collaborate with HW team to understand current HW architecture and propose future improvements
• Develop algorithms to improve performance and reduce compiler overhead
• Debug functional and performance issues on massively-parallel systems
• Work on architecture-specific neural network optimization algorithms for high performance computing

• 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++ programming skills and comfortable with Python
• Capable of delivering results with minimal oversight
• Bonus: Senior level candidates with prior industry experience. Please include anticipated graduation date on resume