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General Motors

Systems Engineering Manager – Autonomy Behavior

General Motors

Autonomy Behavior Systems Engineering Manager leading validation systems for General Motors’ autonomous vehicles. Guiding simulation, safety evidence, and launch decisions.

Posted 9/3/2026full-timeSunnyvale • California • 🇺🇸 United StatesSeniorLead💰 $189,300 - $290,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in systems engineering, particularly in autonomous vehicles and robotics, with a strong focus on simulation evaluation, validation planning, and stakeholder management. Proven ability to lead and develop engineering teams while fostering an inclusive culture and aligning cross-functional objectives.

Highest-signal resume keywords
Systems EngineeringAutonomous VehiclesSimulation EvaluationTechnical LeadershipStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonSystems Engineering FundamentalsVerification and Validation PlanningRequirements StrategyArchitecture and DecompositionUse-Case and Scene ModelingTrade-Off AnalysisRisk QuantificationSafety Case DevelopmentHazard Analysis
Soft Skills
Strong Communication SkillsTeam DevelopmentFeedback DeliveryInclusive Team CultureAlignment Building
Certifications & Qualifications
Master’s Degree in Systems EngineeringMaster’s Degree in Mechanical EngineeringMaster’s Degree in Aerospace EngineeringMaster’s Degree in Electrical EngineeringMaster’s Degree in Computer ScienceMaster’s Degree in Robotics
Industry Keywords
Safety-Critical ValidationBehavior EvaluationSimulation ValidityRelease EvidenceTechnical ManagementCompliance StrategyRisk AcceptanceSeverity ReasoningExposure ReasoningValidation Lifecycles

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Lead and develop a team of autonomy behavior systems engineers
  • Set systems engineering and validation direction for major capabilities and cross-cutting behaviors
  • Connect requirements, coverage, simulation validity, metrics, acceptance criteria, and release evidence
  • Guide scalable behavior evaluation and simulation systems across synthetic tests, road data, and counterfactual references
  • Oversee scenario sourcing, orchestration, data quality, and reproducibility
  • Partner with Engineering, Safety, Legal, Product, and Operations to resolve ambiguity and build alignment
  • Communicate recommendations for engineering, release, and launch decisions

Requirements

What you’ll need
  • 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
  • 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 trade-offs between coverage, confidence, runtime, cost, and simulation validity
  • Strong Python experience and ability to review production-quality analysis or validation software
  • Strong communication skills and ability to create alignment among teams with different goals, terminology, and technical perspectives
  • Demonstrated stakeholder management and technical leadership across organizational boundaries
  • Experience as a Tech Lead, Technical Lead Manager, or people manager responsible for delivering complex technical work through a team
  • Track record of developing engineers, giving clear feedback, supporting career growth, and building an inclusive, accountable team culture
  • Preferred: Human benchmarking for behavior and safety evaluation
  • Preferred: Experience with hazard analysis
  • Preferred: Experience building or using a safety case and reviewing safety claims
  • Preferred: Experience with risk quantification, risk acceptance, severity and exposure reasoning, risk budgets, and mitigation decisions
  • Preferred: Experience turning legal or regulatory expectations into a defensible compliance strategy
  • Preferred: Experience designing validation lifecycles
  • Preferred: Experience hiring, organizing, and prioritizing a technical team
  • Applicants may be required to complete role-related assessments and/or pre-employment screening where applicable

Benefits

Comp & perks
  • Bonus potential through an incentive pay program based on company, job-level, and individual performance
  • Company vehicle evaluation program with an assigned General Motors vehicle, subject to motor vehicle report review
  • Potential eligibility for relocation benefits
  • Benefits supporting well-being at work and at home