Staff Ml Infrastructure Engineer - Embodied Ai

General Motors

Austin, Texas, US
$189,300.00 to $290,700.00; bonus potential: an in...
Fully remote
Large-scale distributed systems
Ml systems
Robust frameworks
Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios

Job Summary

  • Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios.
  • Lead the design, implementation, and deployment of scalable platforms and tools that drive machine learning model training and evaluation workflows across GM.
  • GM offers a variety of health and wellbeing benefit programs including medical, dental, vision, retirement savings plan, and more.

Matching Summary

Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios.

Salary

$189,300.00 to $290,700.00; Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance; Benefits: GM offers a variety of health and wellbeing benefit programs.

Skills & Requirements

Must-have

  • large-scale distributed systems
  • ML systems
  • robust frameworks
  • high-performance cloud infrastructure
  • MLOps practices
  • containerization and orchestration

Nice-to-have

  • accelerating ML development cycle
  • human-centered design process
  • transformative potential of autonomous driving
  • state-of-the-art training optimization

Key Requirements

  • 5+ years of experience
  • BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience
  • Exceptional coding skills in Python or C++

Work Rights

Not specified

Tailored Resume

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