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General Motors

Robot type
Autonomous Vehicle
Location
SunnyvaleCaliforniaUSA
Job type
Business Operations
Posted
Sep 14, 2026
Salary
$189,300–$290,000 a year
Full-time

Systems Engineering Manager - Autonomy Behavior

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.

Job responsibilities

  • Lead and develop a team of autonomy behavior systems engineers, setting expectations for technical quality, execution, communication, and growth.
  • Set the systems engineering and validation direction for major capabilities and cross-cutting behaviors, connecting requirements, coverage, simulation validity, metrics, acceptance criteria, and release evidence.
  • Guide the development of scalable behavior evaluation and simulation systems across synthetic tests, road data, and counterfactual references, including scenario sourcing, orchestration, data quality, and…
  • Partner across Engineering, Safety, Legal, Product, and Operations to resolve ambiguity, build alignment, and communicate clear recommendations for engineering, release, and launch decisions.

Job requirements

  • Master’s degree in systems engineering, mechanical engineering, aerospace engineering, electrical engineering, computer science, robotics, or a related field.
  • 8 or more years of professional experience in systems engineering, autonomous vehicles, robotics, vehicle development, simulation, or safety-critical validation.
  • A proven record of evaluating autonomous vehicles for a commercial fleet, launch, supervised release, or other high-consequence product decision.
  • Deep systems engineering fundamentals, including architecture and decomposition, use-case and scene modeling, requirements strategy, interface definition, verification and validation planning, and traceability.
  • Professional experience defining or leading simulation evaluation at scale, including the trade-offs between coverage, confidence, runtime, cost, and simulation validity.
  • Strong Python experience. You should be comfortable reviewing production-quality analysis or validation software and understanding how tools and data pipelines support engineering decisions.
  • Strong communication skills and the ability to create alignment among teams with different goals, terminology, and technical perspectives.
  • Demonstrated stakeholder management and technical leadership across organizational boundaries. You have led work through influence, not only through formal authority.

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