Own and evolve the model compilation toolchain used to deploy large‑scale perception , 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 and reliability constraints.
Collaborate closely with kernels, runtime, and hardware teams to co‑design interfaces, shape accelerator capabilities, and ensure the compiler exposes the right abstractions to unlock peak performance on each platform.
Set standards and best practices for model export, validation, and debugging so that AV teams can iterate quickly with clear, reproducible performance and accuracy characteristics.

Requirements

5 + years of experience in the field of compilers
Experience with ML frameworks (e.g., PyTorch , TensorFlow, JAX) and software stack (e.g., ONNX, MLIR, XLA, TVM, TensorRT , etc )
Expertise in writing production quality Python/C++ code
Expertise in the software development life-cycle - coding, debugging, optimization, testing, integration
BS, or higher degree, in CS/CE/EE, or equivalent

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

compiler designmodel compilationPythonC++ML frameworksONNXMLIRXLATVMTensorRT

Soft Skills

collaborationcommunicationproblem-solvingstandards settingbest practices development

Certifications

BS in Computer ScienceBS in Computer EngineeringBS in Electrical Engineering