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General Motors Logo General Motors · IT - Software Development

Senior Machine Learning Engineer - ML Training Infrastructure

United States, Mountain View 170000.00 - 240000.00 USD / Year · Job Posted June 03, 2026
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Job Description

We are seeking an experienced, technical oriented, impact delivering-driven expert in ML Training Infrastructure with a strong ability to execute hands-on technical work. In this role, you will be responsible for designing and building scalable, reliable, and high-performance AI/ML platform infrastructure to support advanced AI research and model development initiatives. As a Senior ML Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles.

Job Responsibility

  • Design and development of scalable, reliable, high-performance ML framework to support model training at scale
  • Model training performance analysis and optimization solutions to scale distributed training workflows and maximize resource utilization across heterogeneous hardware environments, and save cost
  • Raise the bar on system observability, debuggability, and operational excellence, and user experience
  • Collaborate with cross-functional teams to integrate new features and technologies into the platform

Requirements

  • Bachelors degree or higher in Computer Science or equivalent major OR equivalent relevant experience
  • 3+ years professional software engineering experience
  • 2+ years specialized experience in AI/ML infrastructure, e.g., enabling distributed training for scaling large ML models
  • Strong programming skills in Python, with proficiency in frameworks such as, PyTorch (preferred), TensorFlow, or similar
  • Experience with distributed computing, GPU computing, and cloud environments (AWS, GCP, Azure)
  • Willingness to travel to Sunnyvale, CA as needed
  • Comfortable working in highly ambiguous and dynamic environments

Nice to have

  • 3+ years of professional software engineering experience
  • Self-motivated, strong execution, impact-delivering oriented
  • Extensive knowledge and experience with PyTorch 2.x+ and distributed training framework
  • Experience with design and development of training framework that supports FSDP, Pipeline Parallelism and other scalable solutions to training large foundational models
  • Experience with profiling, analysis, debugging and optimizing training and data loading performance
  • Excellent communication skills to resolve controversial, make consensus, communicate risks and give constructive feedback

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
  • relocation benefits
  • an incentive pay program offers payouts based on company performance, job level, and individual performance
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