Senior AI Compiler Engineer for Autonomous Driving

FluidJobs; United States; Remote; USD 129,000 - 261,000; Full time

Benefits offered by this job

Health and wellbeing benefits

GM vehicle discounts

Tuition assistance

Job summary

General Motors is seeking a Senior Compiler Engineer for the AI Kernels & Compilers team to optimize the model compilation stack for autonomous and assisted driving. You will transform high-level models into fast, reliable inference artifacts across on-vehicle platforms.

You’ll build robust tooling, validate numerical correctness, and surface actionable diagnostics to model authors, advancing the state of the art in real‑world autonomy and safe, scalable deployment.

Qualifications

• 3+ 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.

Responsibilities

• Build 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 fidelity under safety constraints.
• Collaborate closely with kernels, runtime, and hardware teams to co-design interfaces and ensure the compiler exposes the right abstractions for peak performance.
• Set standards and best practices for model export, validation, and debugging for rapid AV iteration.

Skills

Compilers

ML frameworks

Python

C++

SDLC

Education

BS in CS/CE/EE

Tools

ONNX

MLIR

XLA

TVM

TensorRT

CUDA

Job description

General Motors is seeking a Senior Compiler Engineer for the AI Kernels & Compilers team to optimize the model compilation stack for autonomous and assisted driving. You will transform high-level models into fast, reliable inference artifacts across on-vehicle platforms.

You’ll build robust tooling, validate numerical correctness, and surface actionable diagnostics to model authors, advancing the state of the art in real‑world autonomy and safe, scalable deployment.