Staff ML Compiler Engineer

Job Listing ID:

4450724

Job Title:

Staff ML Compiler Engineer Application Deadline:

Open Until Filled

Job Location:

Salem

Date Posted:

03/10/2026

Hours Worked Per Week:

Not Provided Shift:

Not Provided Duration of Job:

Either Full or Part Time, more than 6 months You may contact this employer directly. (Obtain the contact information to print or add to your jobs.)

Job Summary:

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. We value clear thinking, strong engineering fundamentals, and a culture where people can do the best work of their careers on problems that directly shape the future of automated driving. The Role As a Staff Compiler Engineer on the AI Kernels & Compilers team, you will own the end-to-end compilation stack that takes high-level models and turns them into highly optimized inference artifacts running on GM's autonomous and assisted driving platforms. You'll define the technical vision and build the tooling that makes that path fast, reliable, and effortless for ML engineers across the AV organization to compile their models. You will design and evolve our model export and compilation pipeline-from capturing high-level model graphs, through intermediate representations and compiler transforms, into accelerator-specific inference engines and their integration with our runtime-so that we can simultaneously optimize compilation throughput, model fidelity, and on-vehicle latency. Along the way, you'll build robust tooling to validate numerical correctness, detect and bisect performance regressions, and surface clear, actionable diagnostics back to model authors. If you want to work at the intersection of compilers, performance engineering, and real-world autonomy , this role puts your decisions directly on the critical path of what runs on the car. What You'll Do Own and evolve the model compilation toolchain used to deploy large-scaleperception, prediction, and planning models to the AV. Architect new compiler passes and analysis that improve build times, memory footprint, and runtime latency while preserving-or intentionally trading off-fidelity under strict safety ...

Job Classification:

Software Developers Access our statewide or regional occupation report for more information about wages, employment outlooks, skills, training programs, related occupations, and more. Compensation

Salary:

Not Provided Job Requirements

Experience Required:

 See Job Summary

Education Required:

None

Minimum Age:

N/A Gender:

N/A