Senior Manager, Capacity and Performance Engineering

ABOUT THE ROLE

GM is building a next-generation autonomous vehicle system targeting highway launch. That system runs on GPU clusters for model training on large-scale simulation infrastructure for validation and on data pipelines that ingest and process sensor data at petabyte scale. All of itcloud-hosted all of itneedsto scale predictably as the program accelerates.

As Senior Manager of AV Cloud Capacity & Performance Engineering you own the team and function responsible for making sure that infrastructure is alwaysscaled efficientlyutilized and fiscally sound.Youllbuild andoperatethe capacity modeling cost optimization performance benchmarking and vendor management capabilities that allow the AV engineering organization to develop without resource ceilings.

In practice this means making calls like: committing to a GPU procurement months before demand materializes based on program signals calling a cross-team efficiency initiative when utilization data reveals a pattern of waste or recommending to VP leadership that a next-generation hardware cluster is worth the migration cost based on your teams benchmark data.

WHAT YOULL DO

Own the compute capacity forecast the AV program depends on

Build andmaintaindetailed 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. Your team surfaces over-provisioned workloadsidentifiesGPU scheduling andutilizationinefficiencies and develops architectural recommendations that improve cost per experiment. You define the targets own the results reporting to VP leadership and drive execution in partnership with the engineering teams that own the workloads.

Operate the performance lab and deliver actionable benchmarks to engineering leadership

Lead the function that characterizes how AV workloadsperformon the organizations infrastructure training throughput on current and next-generation GPU clusters simulation efficiency per node-hourandstorageI/O characteristics. Establish repeatable benchmarks that answer concrete procurement and architecture questions: Is the next GPU generation worth the migration cost Where are the actual throughput bottlenecks for training workloads Deliver findings as engineering-grade recommendations not observational reports.

Own strategic vendor and cloud provider relationships

Own the working relationships with major cloud providers and hardware vendors at a program level. Define and enforce SLOs for vendor responsiveness and supply commitments. Build the monitoring and escalation infrastructure to catch vendor performance issues before they become engineering blockers. Negotiate supply and pricing terms that serve a multi-year capacity roadmap.

Advise VP and Director-level leaders on infrastructure tradeoffs and program risk

Be the person senior engineering and program leaders turn to when they need to understand the infrastructure cost and timeline implications of a roadmap decision. Translate complex capacity economics(GPU procurement lead times cloud burst vs. reserved capacity tradeoffs compute efficiency opportunities)into the language of program risk engineering velocity and budget impact.Build the GPU strategy anddetermineplan to use next gen chip sets for better performance.

Build the team and define how the function operates

Lead 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. You care as much about how the team growsaswhatit delivers. Establish the metrics standards and reporting practices that define how AV Infrastructure measures and manages compute efficiency. Youset baselines against which engineering teams can be heldaccountableand that give senior leadership the visibility to make confident tradeoff decisions.

Experience leading technical teams:Youveled engineers and/or technical program managers in a cloud infrastructure capacity planning or ML/AI systems function.Youvebeen accountable for the teams outcomes invested in its members development and built a culture where precision and proactive problem-finding are norms.

Deep fluency in GPU compute and cloud economics:You understand the tradeoffs between reserved and on-demand cloud capacity how GPU clusterutilizationis measured and improved and how to build a multi-year infrastructure cost model for a large AI or ML program. You can hold your own in a detailed technical conversation with a Staff engineer and a finance partner in the same week.

Experience developing capacity planning as an organizational capability:Youvebuilt the models processes and reporting frameworks an engineering organization relies on for infrastructure forecastingandnot just executed within a system someone else built.Youvepresented capacity plans and their assumptions to VP-level audiences and been accountable for the outcomes.

Track record on infrastructure efficiency or cost programs:Youveowned programs that produced measurable auditable savings with before/after data clear attribution and closed loops. You can describe the gap youidentified the intervention your team drove and the result.

Cross-functional influence without authority:Youvedriven alignment across engineering finance procurement and program management where stakeholdershadcompeting priorities. You know how to frame tradeoffs for senior audiences and navigate to a decision.

Clear written and verbal communication at executive levels:Youvewritten strategy documents capacity plans and budget briefings for VP-level audiences. You know when to lead with the recommendation and when to walk through the evidence.

Minimum Qualifications (Must-Have)

• 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.

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Sunnyvale office three times per week at minimum.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York Colorado California or Washington.

• The salary range for this role: is$230000 to $375000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance job level and individual performance.

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include 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.