Staff ML Compiler Engineer

Staff ML Compiler Engineer

Employer: General Motors. Job Description About the Mission GM’s vision of Zero Crashes, Zero Emissions, and Zero Congestion guides everything we do in autonomous and assisted driving. The AV organization is building advanced automated driving technologies, including Level 4–capable fully self-driving systems, to move us toward safer, more sustainable, and more accessible mobility. For the AI Kernels & Compilers team, that mission shows up in the details: turning cutting‑edge perception, prediction, and planning research into production‑grade software that can run efficiently and reliably on real vehicles at scale. We pioneer new approaches to model export, kernel development, and performance engineering so that every cycle on our accelerators translates into better situational awareness, faster reaction times, and more robust behavior on the road. If you want your compiler and kernels work to directly influence how automated vehicles understand and react to the world — while operating at the safety, reliability and scale of a company like GM — this is where that impact becomes real. About the Team The AI Compiler team sits at the heart of how advanced AI models make it onto the car. We own the compiler that turns high‑level models into fast, reliable inference across GPUs powering GM’s next‑generation autonomous and assisted driving features. Our work spans graph lowering, operator coverage, kernel integration, and deployment tooling, with a mandate to squeeze every millisecond out of on‑vehicle workloads while preserving correctness and robustness in real‑world conditions. We partner closely with AI Deployments, AI Solutions, Runtime, and AI Kernels teams to co‑design a platform that enables new ideas in research to be quickly and safely shipped to production fleets. You’ll join a group of deep compiler, systems, and GPU engineers who enjoy working on hard problems, diving into MLIR/ONNX and CUDA/TensorRT internals, and mentoring others on performance engineering.