- Disclaimer: This position is expected to start around January 2023 and continue through the entire Winter/Spring term (i.e. through April/May) or into early Summer 2023 if available. We ask for a minimum of 12 weeks, full-time, for all Autopilot internships. Please consider before applying.
International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. Again, please do not apply until you know you can work 40 hours per week. Many students will be limited to part-time during the academic year.
Internship Program at Tesla
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. Instead of going on coffee runs and making copies, our interns have a seat at the table and make critical decisions that will influence not only their team, but the overall achievement of Tesla’s mission.
- Palo Alto, CA
About the Team
As a Software Engineering Intern within the Autopilot Foundations group, you will have the opportunity to apply your technical skills to a variety of system components & foundational code targeting higher performance of Autopilot and Humanoid robot. The nature of the role means that the code you will write, debug, and maintain will almost always connect with a variety of other components. You will be building robust code foundations for the autonomy teams to write their applications on top of and evangelize best software practices for the better of Autopilot and Humanoid robot. You will be developing system tools to benchmark, characterize and optimize the latency and throughput of the autonomy workloads on the FSD chip. You will write tests and integrate with our evaluation pipeline to ensure the system and functional stability of our stack.
- Currently working towards a BS, MS, or advanced degree in a relevant engineering program such as Computer Science, Computer Engineering, or Electrical Engineering.
- Experience programming in C/C++, modern C/C++ (C++14/17/20) is a huge plus.
- Experience or familiarity with Computer Vision, Machine Learning & related software concepts is a plus.
- Experience with performant software design, object-oriented C++, compiler design and/or hardcore lower-level C code a plus, but preferred.
- Proficient developing software on a Linux host, for embedded Linux targets (cross-compilation, etc.) is a plus.
- Experience with at least one of the following is a plus: imaging software, Cuda/OpenCL, SIMD, multithreading, Linux system software (posix etc.), & computer vision.