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Staff ML Compiler Engineer

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General Motors

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Location:
United States , Austin

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

185100.00 - 335300.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • 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

Nice to have:

  • Experience building and optimizing ONNX‑based model export and deployment pipelines
  • GPU programming (CUDA) and familiarity with ML SW stack (e.g., cuDNN, cuBLAS)
  • Experience with ML accelerators and hardware architecture
  • Experience developing and deploying machine learning models
What we offer:
  • medical
  • dental
  • vision
  • Health Savings Account
  • Flexible Spending Accounts
  • retirement savings plan
  • sickness and accident benefits
  • life insurance
  • paid vacation & holidays
  • tuition assistance programs
  • employee assistance program
  • GM vehicle discounts
  • company vehicle evaluation program
  • incentive pay program

Additional Information:

Job Posted:
March 25, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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