Tesla Internship Software Engineer Autonomy Foundations Winter/Spring 

United States, California, Palo Alto 

749937292

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

As a Software Engineering Intern withinthe Autonomy group, you will have the opportunity to apply your technicalskills to a variety of system components & foundational code targetinghigher performance of Autopilot and Humanoid robot. The nature of the rolemeans that the code you will write, debug, and maintain will almost alwaysconnect with a variety of other components. You will be building robust codefoundations for the autonomy teams to write their applications on top of andevangelize best software practices for the better of Autopilot and Humanoidrobot. You will be developing system tools to benchmark, characterize andoptimize the latency and throughput of the autonomy workloads on the FSD chip.You will write tests and integrate with our evaluation pipeline to ensure thesystem and functional stability of our stack.

• Write, debug and maintain robust C/C++ software to the entire Autopilot and Humanoid robot software stack
• Depending on needs and your interests/skills, you might work on code related to our high-frame rate Camera & Vision stack, write GPU kernels, design and implement low memory footprint image compression libraries, implement high-performance inter-process communication data buffers, improve/extend our image & raw data logging/telemetry code, or make our evaluation/replay software more stable and performant
• Optimize hardware resources usage, leverage custom hardware components where appropriate
• Advocate for best coding practices amongst the group, build tools helping engineers to write better code (for instance, performance/memory tracking)
• Generalize software frameworks when necessary while keeping in mind that too much abstraction can sometimes become a bottleneck

• 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
• Experience programming C/C++ software, including modern C/C++ (C++14/17/20)
• Experience or familiarity with Computer Vision, Machine Learning & related software concepts 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.) a plus