Internship, Software Engineer, Code Hardening & Framework Resilience, Robotaxi (Fall 2026)

Please Consider Before Applying: This position is expected to start August/September 2026 and continue through the entire Fall term (i.e., through December) or into early Spring 2027, if available. We ask for a minimum of 12 weeks, full-time, 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. Again, please do not apply until you know you can work 40 hours per week. This is required for external applicants. Many students will be limited to part-time during the academic year. About the Team: The goal of Full-Self-Driving (FSD) isn’t just to get it working — it’s to make it more dependable than any human driver could ever be. Miles-per-intervention is the key metric we look at to measure this, and our primary focus is keeping that number as high as possible while Robotaxi expands globally. Achieving this requires wiping out every bug as quickly as possible, regardless of how rare its occurrence on the road may be. When issues are identified, we must analyze why tests missed them, devise innovative detection methods through tooling, and rigorously stress-test fixes to eliminate vulnerabilities. In this role, you’ll be responsible for building critical program analysis tools (fuzzers, compiler instrumentation passes, run-time monitoring components, static analysis) to catch these bugs before they reach the fleet. You'll work with a lean team of experienced developers in improving code health, boosting fault tolerance, and enabling extensive end-to-end testing. These efforts will underpin system safety, driving Robotaxi’s scalability as a direct result.

Responsibilities

Integrate & maintain static analysis and other library hardening tools (sanitizers, clang-tidy, fuzzers) Enhance fault tolerance and improve/design new redundancy-aware frameworks in mature autonomous systems Collaborate with other teams to understand the current architecture and propose/implement future improvements to boost code reliability & robustness

Requirements

Pursuing a degree in Computer Science, Computer Engineering, or relevant field of study with a graduation date between December 2026 - August 2027 Proficiency with C++, including modern C++ (17/20/23), and Linux Prior industry/research experience with compilers, program analysis, fuzzing, or static analysis is a plus Familiarity with Bazel and knowledge of build systems is a plus