Staff Ml Engineer, Ml Compute Platform

General Motors

Mountain View, CA, USA
$195,000 - $298,000; bonus potential; health + wel...
Hybrid
Kubernetes at scale
Large-scale distributed systems
Cloud platforms (gcp, azure, aws)
This role is categorized as hybrid, requiring reporting to the GM Global Technical Center - Cole Engineering Center Podium or Mountain View Technical Center, CA at least three times per week

Job Summary

  • This role is categorized as hybrid, requiring reporting to the GM Global Technical Center - Cole Engineering Center Podium or Mountain View Technical Center, CA at least three times per week.
  • The ML Compute Platform team owns the cloud-agnostic, reliable, and cost-efficient compute backend that powers GM AI, supporting autonomous vehicles and other AI-driven products.
  • The compensation for this role is estimated between $195,000 - $298,000, with potential for bonus and comprehensive benefits.

Matching Summary

This role is categorized as hybrid, requiring reporting to the GM Global Technical Center - Cole Engineering Center Podium or Mountain View Technical Center, CA at least three times per week.

Salary

$195,000 - $298,000; Bonus Potential; Health and wellbeing benefit programs

Skills & Requirements

Must-have

  • Kubernetes at scale
  • Large-scale distributed systems
  • Cloud platforms (GCP, Azure, AWS)
  • ML infrastructure platforms
  • GPU/TPU optimizations

Nice-to-have

  • Product mindset
  • Developer experience focus
  • Open source community leadership
  • Observability and telemetry
  • Job orchestration interfaces

Key Requirements

  • 8+ years of industry experience
  • Expertise in Go, C++, Python
  • Strong background with Kubernetes at scale
  • Relevant experience building large-scale distributed systems
  • Experience leading and driving large scale initiatives
  • Experience working with Google Cloud Platform, Microsoft Azure, or Amazon Web Services

Work Rights

Not specified

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