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Staff Machine Learning Engineer, Compute

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General Motors

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Location:
United States , Austin

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Contract Type:
Not provided

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Salary:

198900.00 - 304800.00 USD / Year

Job Description:

Staff ML Engineer, ML Compute Platform. The ML Compute Platform is part of the AI Compute Platform organization within Infrastructure Platforms. Our team owns the cloud-agnostic, reliable, and cost-efficient compute backend that powers GM AI. We’re proud to serve as the AI infrastructure platform for teams developing autonomous vehicles (L3/L4/L5), as well as other groups building AI-driven products for GM and its customers. We enable rapid innovation and feature development by optimizing for high-priority, ML-centric use cases. Our platform supports the training and deployment of state-of-the-art (SOTA) machine learning models with a focus on performance, availability, concurrency, and scalability. We’re committed to maximizing GPU utilization across platforms while maintaining reliability and cost efficiency.

Job Responsibility:

  • Design core platform backend software components
  • Thrive in a dynamic, multi-tasking environment with ever-evolving priorities
  • Interface with other teams to incorporate their innovations and vice versa
  • Analyze and improve efficiency, scalability, and stability of various system resources
  • Proactively identify, drive and design large initiatives across GM ML ecosystem

Requirements:

  • 7+ years of industry experience
  • Expertise in either Go, C++, Python or other relevant coding languages
  • Strong background with kubernetes at scale
  • Relevant experience building large-scale with distributed systems
  • Experience leading and driving large scale initiatives
  • Experience working with Google Cloud Platform, Microsoft Azure, or Amazon Web Services

Nice to have:

  • Hands-on experience in ML platforms
  • Experience with GPU/TPU optimizations
  • Experience with training frameworks like PyTorch, TorchX
  • Experience with Ray framework
  • Leadership/active participation in the open source community
  • Experience infrastructure applications or similar experience
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 03, 2026

Employment Type:
Fulltime
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