Senior Ai/ml Capacity And Performance Engineer

General Motors Australia & New Zealand

Sunnyvale, California, US
Base: $144,700 to $261,300; bonus/equity: incentiv...
Hybrid
Ml infrastructure strategy
Large-scale ml training
Python coding skills
The mission of the AVCPE team is to provide input into large scale ML infrastructure strategy, advise on key decisions affecting our cloud budget, identify and execute optimization projects, and provide capacity planning and engineering expertise to support GM’s efforts in developing autonomous vehicles (AV)

Job Summary

  • The mission of the AVCPE team is to provide input into large scale ML infrastructure strategy, advise on key decisions affecting our cloud budget, identify and execute optimization projects, and provide capacity planning and engineering expertise to support GM’s efforts in developing autonomous vehicles (AV).
  • Conduct deep-dive analyses of production workloads to identify bottlenecks and propose high-impact optimization strategies.
  • GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, retirement savings plan, and more.

Matching Summary

The mission of the AVCPE team is to provide input into large scale ML infrastructure strategy, advise on key decisions affecting our cloud budget, identify and execute optimization projects, and provide capacity planning and engineering expertise to support GM’s efforts in developing autonomous vehicles (AV).

Salary

Base: $144,700 to $261,300; Bonus/Equity: Incentive pay program based on company, job level, and individual performance; Benefits: Health and wellbeing benefit programs including medical, dental, vision, retirement savings plan, and more.

Skills & Requirements

Must-have

  • ML infrastructure strategy
  • large-scale ML training
  • Python coding skills
  • PyTorch ecosystem
  • Kubernetes orchestration
  • Nvidia DCGM/nvidia-smi
  • AWS, GCP, or Azure

Nice-to-have

  • Enterprise-grade Nvidia GPU architectures
  • Hugging Face ecosystem
  • BigQuery for data analysis
  • Nvidia Nsight profiling
  • Technical communication skills

Key Requirements

  • 5+ years of professional experience
  • Bachelor’s Degree in Computer Science
  • Expert-level coding skills in Python
  • Proven track record of resolving performance issues
  • Deep understanding of distributed systems
  • Hands-on experience with Kubernetes
  • Technical proficiency with Nvidia DCGM
  • Extensive experience working within major cloud ecosystems

Work Rights

Not specified

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