Staff Ai/ml Engineer, Developer Productivity

General Motors

Base: $180,000 to $284,000; bonus: incentive pyy b...
Not specified (assumed hybrid based on modern industry trends).
5+ years designing production systems at scale
Experience with go or python at production scale
Deep understanding of unix/linux and networking fundamentals
General Motors is seeking a Staff AI/ML Engineer for its Developer Productivity team, focusing on enhancing tools and services to improve the engineering workflow. The ideal candidate will have extensive experience in cloud systems, a passion for developer productivity, and the ability to mentor junior engineers

Job Summary

  • The role focuses on delivering world-class tools that enhance the entire development process for autonomous vehicle engineers at GM.
  • Engineers in this position are expected to identify pain points, propose scalable solutions, and drive measurable improvements in engineering productivity.
  • GM offers a comprehensive benefits package including medical, dental, vision, retirement savings, and employee discounts on GM vehicles.

Matching Summary

Match Score: 85

General Motors is seeking a Staff AI/ML Engineer for its Developer Productivity team, focusing on enhancing tools and services to improve the engineering workflow. The ideal candidate will have extensive experience in cloud systems, a passion for developer productivity, and the ability to mentor junior engineers.

Salary

Base: $180,000 to $284,000; Bonus: Incentive pay based on company and individual performance; Benefits: Medical, dental, vision, HSA, FSA, retirement plan, tuition assistance, vehicle discounts

Skills & Requirements

Must-have

  • 5+ years designing production systems at scale
  • Experience with Go or Python at production scale
  • Deep understanding of Unix/Linux and networking fundamentals
  • Proven ability to lead and influence technical teams
  • Track record of mentoring junior engineers

Nice-to-have

  • Application of LLMs and MCPs to coding workflows
  • Experience working with GCP cloud infrastructure
  • Proficiency with Docker and Kubernetes containerization
  • Contributions to Open-Source software projects
  • Passion for self-driving technology impact

Key Requirements

  • Bachelor's Degree in Computer Science or equivalent experience
  • Minimum 5 years of experience building cloud systems
  • Ability to manage competing priorities under pressure

Work Rights

Not specified

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