Internship, Software Compiler Engineer, AI Inference (Winter/Spring 2026)
About this internship
Tesla is hiring an Internship, Software Compiler Engineer, AI Inference for Winter/Spring 2026 in Palo Alto, CA with an on-site work model. This role is suited to students pursuing Computer Science, Computer Engineering, or a related degree, with a graduation date between April 2026 and May 2027. You’ll use strong C++ skills, Python familiarity, and a solid understanding of machine learning fundamentals; the listed pay range is $100,000–$150,000 per year.
Qualifications
Required
- Pursuing a degree in Computer Science, Computer Engineering, or relevant field of study with a graduation date between April 2026 -May 2027
- Strong C++ programming skills and familiarity with Python
- Solid understanding of machine learning concepts and fundamentals
Nice to have
- Coursework or projects that demonstrate applied machine learning fundamentals (e.g., model inference concepts, evaluation, or deployment basics).
- Personal, academic, or open-source projects showing strong C++ coding practices (clean design, testing, and performance awareness).
- Comfort using Python to prototype ideas, run experiments, or build small tooling around C++ code.
- Experience explaining technical work clearly in writing (project reports, READMEs, or documentation).
- Ability to work effectively on-site in Palo Alto, CA and collaborate with others to iterate on solutions.
How to stand out (TUN tip)
When you apply, tailor your resume to highlight 1–2 projects that combine C++ and machine learning fundamentals, and quantify outcomes where you can (speedups, latency, accuracy, or scale). If you share code, include a short README that explains what you built, your role, and how someone can run or review it.