Manager, AV Evaluation

General Motors; United States; Hybrid; USD 150,000 - 190,000; Full time

Job summary

General Motors is seeking an Engineering Manager to lead a team that builds software, metrics, and analysis systems for evaluating autonomous driving performance at scale. You will influence cross-functional partners across Autonomy, Simulation, Systems, and Safety teams, ensuring rigorous execution and delivery of high‑quality AV evaluation capabilities.

This role offers remote/hybrid work with preference for candidates who can report to a GM location within a 50‑mile radius when needed.

Job description

Job Description

Work Arrangement: This role is categorized as Remote/hybrid. Remote: This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit, Warren, Milford, Sunnyvale, CA], you are expected to report to that location three times per week, at minimum.

General Motors is a global leader in advanced driver assistance. With Super Cruise-equipped technology in more than 500,000 Super Cruise-equipped vehicles on the road and over 700 million hands-free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting-edge advances to everyday drivers at unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences.

About The Organization

The Evaluation team builds and evolves the evaluation ecosystem that powers the development and scaling of GM’s autonomous driving technology. We develop metrics, automated workflows, and analysis approaches that enable data-driven decisions across AV development and verification. Partnering with Autonomy, Simulation, Systems, and Safety teams, we act as system-level integrators and arbiters of end-to-end AV quality.

We own large-scale test scenario libraries, continuous evaluation pipelines, and critical risk assessment and release-gating components, treating road testing, data mining, training, and metrics as first-class use cases in a unified analytics framework. By joining this team, you will help shape GM’s core evaluation platforms, turn system-level results into clear feedback for engineering and leadership, and help accelerate validated AV deployment at scale.

We are looking for an Engineering Manager to lead a team building the software, metrics, and analysis systems used to evaluate autonomous driving performance at scale. This leader will combine strong technical judgment with people leadership, cross-functional influence, and execution rigor to help shape GM’s