Senior Manager, Capacity and Performance Engineering

General Motors (GM)

Hybrid

Quick summary

Work type
Hybrid
Location
Sunnyvale, CA
Salary
$230,000–$375,000 / yr
Posted
37 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $196k
This role $302k
$121k most similar roles pay here $402k

This role pays more than 97% of similar roles. Most pay $166,125–$226,000 — the shaded band above. At the midpoint, this role pays about $302k versus about $196k for comparable roles.

Based on 239 similar postings.

Employer

About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 131 open roles on FindRole.

Listed pay typically runs $170,000–$258,500 across 75 roles with salary data.

Most-posted roles

View all roles at General Motors (GM)

At a glance

TL;DR · Senior Manager, Capacity and Performance Engineering

As Senior Manager of AV Cloud Capacity & Performance Engineering at GM, you will lead a team responsible for ensuring the autonomous vehicle system's infrastructure scales efficiently and remains fiscally sound. Your daily tasks include building detailed capacity models for GPU clusters, simulation infrastructure, and data pipelines, committing to hardware procurement based on program signals, and leading cross-team initiatives to optimize resource utilization. You will also operate a performance lab to deliver actionable benchmarks for engineering leadership, advise senior leaders on infrastructure tradeoffs, and manage strategic vendor relationships. The role requires deep expertise in GPU compute and cloud economics, experience in capacity planning, and the ability to influence across multiple functions without direct authority. Familiarity with large-scale AI systems and complex engineering programs is essential, as you will work within a high-stakes environment where infrastructure availability directly impacts program milestones.

What you'll do

  • Build and maintain detailed capacity models for AV compute stack components.
  • Lead cross-team initiatives to reduce compute waste without slowing engineering velocity.
  • Operate performance lab to deliver actionable benchmarks on infrastructure efficiency.
  • Own strategic vendor relationships, enforcing SLOs and negotiating supply terms.
  • Advise senior leadership on infrastructure tradeoffs and program risk implications.

What we're looking for

  • Experience leading technical teams in cloud infrastructure or ML/AI systems.
  • Deep understanding of GPU compute and cloud economics for large-scale AI programs.
  • Proven ability to develop capacity planning as an organizational capability.
  • Track record of driving measurable savings through infrastructure efficiency programs.
  • Strong cross-functional influence without direct authority across engineering, finance, procurement.
  • Clear communication skills at executive levels for strategy documents and budget briefings.

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