Senior Ml Infrastructure Engineer, Inference Platform

General Motors

Mountain View, California, United States
Base: $155,420 to $205,900; bonus: incentive pyy p...
Hybrid
5+ years industry experience in ml systems
Expertise in python or c++ coding languages
Strong knowledge of ml inference frameworks
The team owns a cloud-agnostic, reliable, and cost-efficient platform that powers GM's AI efforts for autonomous vehicles and other products

Job Summary

  • The team owns a cloud-agnostic, reliable, and cost-efficient platform that powers GM's AI efforts for autonomous vehicles and other products.
  • You will lead technical decision-making on model serving strategies, orchestration, caching, and auto-scaling mechanisms for highly optimized use of accelerators.
  • GM offers a variety of health and wellbeing benefit programs including medical, dental, vision, retirement savings plans, and tuition assistance.

Matching Summary

The team owns a cloud-agnostic, reliable, and cost-efficient platform that powers GM's AI efforts for autonomous vehicles and other products.

Salary

Base: $155,420 to $205,900; Bonus: Incentive pay program based on performance; Benefits: Medical, dental, vision, retirement, and more

Skills & Requirements

Must-have

  • 5+ years industry experience in ML systems
  • Expertise in Python or C++ coding languages
  • Strong knowledge of ML inference frameworks
  • Experience with distributed systems design
  • Proven ability to drive cross-functional initiatives

Nice-to-have

  • Deep expertise building zero-to-one platforms
  • Experience with Ray framework and vLLM
  • Familiarity with telemetry and feedback loops
  • Contribution to open source projects
  • Product mindset focused on usability

Key Requirements

  • 5+ years of industry experience
  • Expertise in Python, C++, or relevant languages
  • Experience with ML inference and model serving

Work Rights

Not specified

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