Senior Manager, Capacity And Performance Engineering
General Motors Australia & New Zealand
Sunnyvale, California, United States
Base: $230,000 to $375,000; bonus: incentive pyy b...
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Gpu compute and cloud economics expertise
Capacity modeling for ai/ml programs
Infrastructure efficiency and cost optimization
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General Motors Australia & New Zealand is seeking a Senior Manager for Capacity and Performance Engineering to oversee the scaling and optimization of compute infrastructure for their next-generation autonomous vehicle system. The role requires leading a technical team in GPU procurement, capacity modeling, and vendor management, with a focus on efficiency and cost-effectiveness.
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Job Summary
The role involves owning the compute capacity forecast and GPU supply plan for a next-generation autonomous vehicle system targeting highway launch.
Candidates must lead cross-team initiatives to reduce compute waste while maintaining engineering velocity and delivering actionable benchmarks to leadership.
The position offers a competitive salary range of $230,000 to $375,000 along with comprehensive health, retirement, and employee assistance benefits.
Matching Summary
Match Score: 75
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General Motors Australia & New Zealand is seeking a Senior Manager for Capacity and Performance Engineering to oversee the scaling and optimization of compute infrastructure for their next-generation autonomous vehicle system. The role requires leading a technical team in GPU procurement, capacity modeling, and vendor management, with a focus on efficiency and cost-effectiveness.
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Salary
Base: $230,000 to $375,000; Bonus: Incentive pay based on company and individual performance; Benefits: Medical, dental, vision, retirement, tuition assistance, and vehicle discounts
Skills & Requirements
Must-have
GPU compute and cloud economics expertise
Capacity modeling for AI/ML programs
Infrastructure efficiency and cost optimization
Vendor management and procurement strategy
Performance benchmarking and workload characterization
Cross-functional leadership without authority
Nice-to-have
Experience in automotive or aerospace sectors
Strong executive communication skills
Track record of driving measurable savings
Investment in team development culture
Key Requirements
5+ years leading technical teams and executing strategy
Bachelor's degree in Computer Science or equivalent experience
Experience designing large-scale AI/ML infrastructure systems
Background in performance engineering or HPC workload characterization