Hybrid Senior ML Compiler Engineer for Autonomous Driving

General Motors Ventures

San Francisco (CA)

Hybrid

Confidential

Full time

14 days+
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Benefits offered by this job

Health benefits
Hybrid work

Job summary

General Motors seeks a Senior Compiler Engineer on the AI Kernels & Compilers team to optimize the model export and compilation pipeline for GM’s autonomous and assisted driving platforms. You will turn high‑level models into accelerator‑specific inference artifacts and collaborate with kernels, runtime, and hardware teams.

The role emphasizes performance, numerical correctness, and robust diagnostics, with a compensation range of $128,700 to $261,300 and a hybrid work model.

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).
  • 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.

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.
  • Collaborate closely with kernels, runtime, and hardware teams to co-design interfaces and ensure compiler abstractions unlock peak performance.
  • Set standards and best practices for model export, validation, and debugging for quick iteration.

Skills

Compiler experience
ML frameworks
Python
C++
SDLC

Education

BS in CS/CE/EE

Tools

ONNX
MLIR
XLA
TVM
TensorRT

Job description

General Motors seeks a Senior Compiler Engineer on the AI Kernels & Compilers team to optimize the model export and compilation pipeline for GM’s autonomous and assisted driving platforms. You will turn high‑level models into accelerator‑specific inference artifacts and collaborate with kernels, runtime, and hardware teams.

The role emphasizes performance, numerical correctness, and robust diagnostics, with a compensation range of $128,700 to $261,300 and a hybrid work model.

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