Staff Ml Infrastructure Engineer (compute)

General Motors Australia & New Zealand

Base: $197,000 to $326,000; bonus/equity: incentiv...
Not specified (assume hybrid based on industry standards).
8+ years industry experience in high performance backend services
Strong expertise in docker and kubernetes container technologies
Proficiency in go or similar coding languages
General Motors Australia & New Zealand is seeking a Staff ML Infrastructure Engineer to join their AI Validation Platform team, focusing on building and scaling robust compute platforms for autonomous vehicle simulation and machine learning workflows. The role requires significant experience in distributed systems, container technologies, and cloud platforms, emphasizing reliability and efficiency

Job Summary

  • The role involves building and scaling robust compute platforms specifically for autonomous vehicle simulation and validation workflows.
  • Candidates will own the technical roadmap for compute architecture, caching, capacity provisioning, and auto-scaling mechanisms.
  • The position offers a competitive salary range of $197,000 to $326,000 along with comprehensive health and retirement benefits.

Matching Summary

Match Score: 85

General Motors Australia & New Zealand is seeking a Staff ML Infrastructure Engineer to join their AI Validation Platform team, focusing on building and scaling robust compute platforms for autonomous vehicle simulation and machine learning workflows. The role requires significant experience in distributed systems, container technologies, and cloud platforms, emphasizing reliability and efficiency.

Salary

Base: $197,000 to $326,000; Bonus/Equity: Incentive pay program based on company and individual performance; Benefits: Medical, dental, vision, HSA, FSA, retirement savings, paid vacation, tuition assistance, GM vehicle discounts

Skills & Requirements

Must-have

  • 8+ years industry experience in high performance backend services
  • Strong expertise in Docker and Kubernetes container technologies
  • Proficiency in Go or similar coding languages
  • Experience with cloud platforms GCP Azure or AWS
  • Proven ability to drive cross-functional initiatives

Nice-to-have

  • Hands-on experience with Google Compute Engine VM services
  • Experience with hardware-in-the-loop validation systems
  • Familiarity with high performance computing HPC frameworks
  • Knowledge of telemetry and feedback loops for product improvement
  • Experience optimizing hardware acceleration GPUs

Key Requirements

  • 8+ years of industry experience
  • Strong expertise in container technologies like Docker and Kubernetes
  • Experience working with cloud platforms such as GCP, Azure, or AWS

Work Rights

Not specified

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