- Robot type
- Autonomous Vehicle
- Location
- SunnyvaleCaliforniaUSA
- Job type
- Business Operations
- Posted
- Sep 8, 2026
- Salary
- $218,800–$335,300 a year
Manager, AV Evaluation
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.
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 500,000 Super Cruise–equipped vehicles on the road and over 700 million hands-free miles driven, GM is proving…
Job responsibilities
- Build a high-performing, inclusive engineering team through hiring, coaching, feedback, and career development.
- Create clarity across priorities, roadmaps, and dependencies for a technically complex evaluation domain.
- Balance near-term delivery with long-term platform investments in metrics, tooling, and infrastructure.
- Raise the quality of team execution through clear ownership, strong design reviews, and healthy operating mechanisms.
- Represent the team effectively across partner organizations and influence decisions that affect system-level AV quality.
Job requirements
- 8+ years of relevant experience in robotics, autonomous systems software, data analysis, ML evaluation, or autonomy analytics, including substantial experience leading technical teams and delivering complex software…
- 3+ years evaluating dynamic systems using numerical and/or ML approaches, including time-series data, state derivatives, dynamics, and interconnected subsystems.
- Strong proficiency developing Python in production team environments, including testing, performance, and code review.
- Strong hands-on familiarity with Pandas, NumPy, SciPy, and data visualization libraries for large-scale analysis and reporting.
- Comfort working with C++ codebases, including reading, debugging, and instrumenting core algorithms.
- Demonstrated technical leadership, including driving architectural decisions, influencing cross-team designs, and owning complex services or platforms end-to-end.
- Strong cross-functional communication and an ability to convert ambiguous evaluation needs into clear technical plans.
- Strong analytical curiosity and a disciplined approach to root-causing anomalous data and system discrepancies.
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