Staff Ml Engineer, Inference Platform

General Motors Australia & New Zealand

Sunnyvale, California, United States
Base: $185,500 - $270,000; bonus: incentive pyy pr...
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8+ years industry experience in ml systems
Expertise in go python or c++
Experience with ml inference frameworks like triton vllm
** General Motors is seeking a Staff Machine Learning Engineer for their Inference Platform in Sunnyvale, California. The ideal candidate should have extensive experience in machine learning systems, distributed systems, and strong coding skills, specifically in languages like Go, Python, or C++. This hybrid role offers competitive compensation and benefits, along with opportunities to influence AI infrastructure for autonomous vehicles. **

Job Summary

  • This role involves designing and implementing core platform backend software components to support state-of-the-art machine learning models for autonomous vehicles.
  • The team is committed to maximizing GPU utilization across various hardware accelerators while maintaining reliability and cost efficiency for high-priority AI use cases.
  • Successful candidates will lead technical decision-making on model serving strategies, orchestration, and auto-scaling mechanisms within a hybrid work environment based in Sunnyvale, CA.

Matching Summary

Match Score: 75

** General Motors is seeking a Staff Machine Learning Engineer for their Inference Platform in Sunnyvale, California. The ideal candidate should have extensive experience in machine learning systems, distributed systems, and strong coding skills, specifically in languages like Go, Python, or C++. This hybrid role offers competitive compensation and benefits, along with opportunities to influence AI infrastructure for autonomous vehicles. **

Salary

Base: $185,500 - $270,000; Bonus: Incentive pay program based on performance; Benefits: Medical dental vision retirement savings vehicle discounts

Skills & Requirements

Must-have

  • 8+ years industry experience in ML systems
  • Expertise in Go Python or C++
  • Experience with ML inference frameworks like Triton vLLM
  • Strong background in distributed systems design
  • Cloud platform experience (GCP Azure AWS)

Nice-to-have

  • Hands-on experience building ML infrastructure platforms
  • Familiarity with Ray framework and vLLM
  • Contributions to open-source ML serving frameworks
  • Experience with hardware acceleration optimizations
  • Product mindset focused on platform usability

Key Requirements

  • 8+ years of industry experience
  • Expertise in Go Python or C++
  • Experience with cloud platforms GCP Azure AWS

Work Rights

Not specified

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