Tesla's Dojo Correctness and Reliability team is seeking an intern to join their cutting-edge supercomputer development efforts. As part of this internship, you'll work on building program analysis tools, including fuzzers, compiler instrumentation passes, and run-time monitoring components for Tesla's in-house supercomputer. This is a unique opportunity to work alongside experienced developers in automating software and hardware testing for one of the most advanced AI computing systems.
The role combines hands-on experience with C++ programming, compiler development, and hardware interaction, making it perfect for students interested in the intersection of software and hardware engineering. You'll be directly involved in critical projects that impact Tesla's AI infrastructure, working closely with both the Dojo hardware/software teams and the Autopilot software team.
This internship offers comprehensive hands-on experience in a fast-paced environment where you'll tackle complex technical challenges in massively parallel systems. You'll gain invaluable experience in compiler development, hardware testing, and large-scale system optimization while contributing to Tesla's mission of accelerating the world's transition to sustainable energy.
The position offers competitive compensation, comprehensive benefits, and the opportunity to work in Palo Alto, CA. This is an excellent opportunity for students graduating between 2025-2026 who are passionate about low-level programming, hardware interaction, and building reliable systems at scale.