Principle Systems Engineer - Autonomy Behavior Validation
general motorsSunnyvale, TX
Principle Systems Engineer - Autonomy Behavior Validation
L7
general motorsSunnyvale, TXtoday
Industries
Automobile and Light Duty Motor Vehicle ManufacturingEngineering ServicesResearch and Development in the Physical, Engineering, and Life SciencesOverview:
In this role you will serve as the technical authority for autonomy behavior definition, evaluation, and release readiness across the full validation lifecycle. You will architect the strategy, from behavior decomposition to evidence-based go/no-go decisions, coordinating with cross-functional teams. You will diagnose complex issues across perception, prediction, planning, and controls and close coverage gaps using fleet and incident data. You will design validation strategies combining simulation, road data, and testing, balancing coverage, confidence, fidelity, runtime, and cost. You will lead cross-functional reviews and raise the bar for systems engineering and validation. Compensation / Benefits medical, dental, and vision coverage Health Savings Account and Flexible Spending Accounts retirement savings plan paid vacation and holidays tuition assistance programs GM vehicle discounts
Responsibilities:
Set long-term technical strategy and systems engineering approach for autonomy behavior validation Define readiness criteria for autonomous behavior and link safety claims to evidence Diagnose issues across perception, prediction, planning, and controls; close gaps using fleet/incident data Design validation strategies combining simulation, road data, closed-course testing, and expert review Guide validation tools, data pipelines, scorecards, and AI-assisted workflows for scalable products Lead cross-functional technical reviews and mentor engineers
Key requirements:
Master's degree in relevant engineering fields and 10+ years of experience in autonomous vehicles, robotics, simulation, systems engineering, or safety-critical validation Proven record evaluating autonomous vehicles for self-driving fleet decisions and go/no-go recommendations Deep end-to-end expertise in perception, prediction, planning, and controls and how they map to on-road behavior Strong systems engineering fundamentals including decomposition, ODD, requirements strategy, V&V planning, and traceability Experience leading simulation evaluation at scale Strong Python and agentic workflow experience Ability to communicate results and limitations to engineers and senior leaders cross-functional collaboration technical leadership across organizational boundaries clear communication of results, assumptions, and limitations Python agentic workflows simulation evaluation at scale
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Level
ManagerL7
Location
Sunnyvale, TX
Occupation
Validation Engineers
Industry
Automobile and Light Duty Motor Vehicle Manufacturing
Posted
today
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