Senior Ml Engineer, Ml Compute

General Motors Australia & New Zealand

Sunnyvale, United States
Base: $155,420 to $395,900; bonus/equity: incentiv...
Hybrid
Cloud-agnostic compute backend
Kubernetes at scale
Large-scale distributed systems
Our team owns the cloud-agnostic, reliable, and cost-efficient compute backend that powers GM AI, serving teams developing autonomous vehicles and other AI-driven products

Job Summary

  • Our team owns the cloud-agnostic, reliable, and cost-efficient compute backend that powers GM AI, serving teams developing autonomous vehicles and other AI-driven products.
  • You’ll be responsible for building critical backend services, integrating with GPU hardware and orchestration systems, and driving improvements to both system architecture and user experience.
  • GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, retirement savings plan, and paid vacation & holidays.

Matching Summary

Our team owns the cloud-agnostic, reliable, and cost-efficient compute backend that powers GM AI, serving teams developing autonomous vehicles and other AI-driven products.

Salary

Base: $155,420 to $395,900; Bonus/Equity: Incentive pay program based on company, job level, and individual performance; Benefits: Health and wellbeing programs, retirement savings plan, paid time off, vehicle discounts

Skills & Requirements

Must-have

  • cloud-agnostic compute backend
  • Kubernetes at scale
  • large-scale distributed systems
  • GPU hardware integration
  • backend software components design

Nice-to-have

  • ML platform experience
  • Ray framework experience
  • open source community participation
  • product mindset
  • user experience focus

Key Requirements

  • 5+ years of industry experience
  • Expertise in Go, C++, Python
  • Strong background with Kubernetes
  • Relevant experience building large-scale distributed systems
  • Experience leading large scale initiatives
  • Experience with GCP, Azure, or AWS

Work Rights

Not specified

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