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Staff ML Engineer - Embodied AI Scaling Foundations

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General Motors

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Location:
United States , Mountain View

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

189000.00 - 280000.00 USD / Year
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Job Description:

Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios. As a Staff ML Engineer, you will build critical infrastructure that powers every machine learning engineer working on our cutting-edge Autonomous Driving models. From foundational models to state-of-the-art optimization, our goal is simple: dramatically accelerate the machine learning development cycle. We are committed to delivering products that are performant, easy to use, and exceptionally reliable. Your success will be measured by the success of our partner teams who rely on our robust systems to build the world's most advanced driverless vehicles.

Job Responsibility:

  • Lead the design, implementation, and deployment of scalable platforms and tools that drive machine learning model training and evaluation workflows across GM
  • Own complex technical projects end-to-end, making key architectural decisions and technical trade-offs. You will be a core contributor to team planning, design reviews, and code quality
  • Take a holistic view of projects, considering their impact across multiple teams, and Proactively drive technical prioritization. Collaborate closely with partner teams to ensure maximum benefit from the systems we build
  • Help shape our team through technical interviewing with high, well-calibrated standards, and play an essential role in recruiting. Mentor and onboard junior engineers and interns, helping them grow their careers

Requirements:

  • 5+ years of experience building large-scale distributed systems, applications, or advanced ML systems
  • Proven track record of designing robust frameworks with high-quality, durable APIs
  • Deep understanding of machine learning algorithms with hands‑on application
  • Expertise in building reliable, high-performance, and cost-efficient systems on modern cloud infrastructure
  • End-to-end experience across the ML development lifecycle, including MLOps practices
  • Strong cross functional collaboration skills across teams and organizations
  • Proficiency with containerization and orchestration technologies (e.g., Docker, Kubernetes)
  • Exceptional coding skills in Python or C++
  • Strong interest in autonomous driving and its transformative potential
  • BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience.

Nice to have:

  • Experience with distributed training methodologies
  • Experience scaling ML training across large GPU/CPU clusters or other accelerators
  • Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow)
  • Experience with performance profiling and state-of-the-art training optimization techniques, including their impact on model performance
  • Experience with advanced build systems (e.g., Bazel, Buck, Blaze, CMake)
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
  • relocation benefits

Additional Information:

Job Posted:
March 03, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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