Senior Manager, Capacity and Performance Engineering

General Motors

Senior Manager of AV Cloud Capacity & Performance Engineering at GM ensuring scalable infrastructure for AI-driven autonomous vehicle systems. Leading capacity modeling, cost optimization, and performance benchmarks.

Posted 5/1/2026full-timeSunnyvale • California • 🇺🇸 United StatesSenior💰 $230,000 - $375,000 per yearWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Own the compute capacity forecast the AV program depends on
Build and maintain detailed capacity models for the full AV compute stack: model training clusters, simulation infrastructure, data ingest systems, inference serving, and developer tooling.
Translate upcoming program milestones into specific capacity commitments well ahead of when supply is needed.
Own the GPU supply plan end-to-end: assessing when to transition workloads across hardware generations, aligning procurement timing with vendor product cycles, and ensuring supply commitments are in place before engineering demand materializes.
Run an infrastructure efficiency and cost optimization program with measurable targets
Lead a cross-team program to reduce compute and storage waste without degrading engineering velocity.
Operate the performance lab and deliver actionable benchmarks to engineering leadership
Own strategic vendor and cloud provider relationships
Advise VP and Director-level leaders on infrastructure tradeoffs and program risk
Build the GPU strategy and determine plan to use next gen chip sets for better performance.
Build a team of engineers and technical program managers working across capacity modeling, performance benchmarking, cost optimization, and vendor operations. Invest in the development of everyone on the team.

Requirements

What you’ll need

5+ years of experience or proven record of defining and executing technical strategy that required coordination across multiple teams, senior executives, and front-line engineers
Bachelors Degree in Computer Science or related field OR equivalent work experience
Experience driving consensus on a multi-functional effort using influence without authority
Experience in designing and implementing large scale systems
Experience with infrastructure for large-scale AI or ML programs: GPU training clusters, ML pipeline orchestration, or inference serving at production scale.
Background in performance engineering or HPC: workload characterization, cluster benchmarking, GPU efficiency modeling.
Familiarity with complex engineering programs with fixed timelines (automotive, aerospace, or similar) where infrastructure availability has direct program milestone consequences.
Experience managing enterprise cloud or hardware vendor relationships at a program level, including capacity commitments and multi-year procurement.

Benefits

Comp & perks

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs
employee assistance program
GM vehicle discounts and more.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

capacity modelingGPU supply planningperformance benchmarkingcost optimizationlarge scale systems designAI infrastructureML pipeline orchestrationinference servingworkload characterizationGPU efficiency modeling

Soft Skills

technical strategy executioncross-team coordinationinfluence without authorityconsensus buildingleadershipteam developmentadvising senior executivesrisk assessmentcommunicationproblem-solving

Certifications

Bachelor's Degree in Computer Sciencerelated field degreeequivalent work experience