Job description

Job Description Role As a Staff Autonomy Behavior Systems Engineer, you will set the technical direction for how autonomous vehicle behavior is specified, evaluated, and supported by evidence. You will work across behavior, software, simulation, safety, legal, product, and operations to build a validation system that supports sound safety and launch decisions and can run continuously. You will bring deep experience evaluating autonomous vehicles in commercial fleets and understand the difference between a test that produces a result and a validation system people can trust. You will connect requirements, scene definitions, metrics, acceptance criteria, coverage, simulation validity, human references, and the decision process around the result. What You’ll Do Set the systems engineering approach for behavior validation from product requirements through release and monitoring, including behavior decomposition, metrics, acceptance criteria, coverage, confidence, and traceability. Lead validation strategy for major capabilities and cross-cutting behaviors by connecting safety claims, legal and compliance expectations, hazard analysis, requirements, simulation tests, and release evidence. Set the direction for behavior evaluation and simulation at scale across synthetic tests, road data, and counterfactual references, including scenario sourcing, sampling, orchestration, data quality, and reproducibility. Lead cross-functional technical reviews and guide validation tools, data pipelines, simulation workflows, and analysis products toward repeatable systems; turning complex results into clear recommendations. Required Qualifications Master s degree in systems engineering, mechanical engineering, aerospace engineering, electrical engineering, computer science, robotics, or a related field. Advanced degree is a plus. 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 reading and writing production-quality analysis or validation software, reviewing designs and pull requests, and using code to test an engineering idea quickly. 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. Evidence of setting direction beyond a single project, such as establishing a methodology, framework, lifecycle, platform, standard, or reusable validation process adopted by other engineers or teams. What Will Give You a Competitive Edge Human benchmarking for behavior and safety evaluation, including attentive human benchmark construction, human percentile methods, expert review, and the limits of human references. Counterfactual analysis in simulation, including AV versus human or AV versus alternate-policy comparisons under matched scene conditions. Experience building or using a safety case, writing or reviewing safety claims, and determining what validation evidence is needed to support those claims. Strong familiarity with hazard analysis and structured safety methods such as STPA, FMEA, fault trees, scenario-based hazard analysis, or equivalent approaches. Experience with risk quantification, risk acceptance, severity and exposure reasoning, risk budgets, and mitigation decisions. Experience turning legal or regulatory expectations into a defensible compliance strategy with requirements, metrics, test coverage, and documented claims. Experience designing validation lifecycles that connect scope definition, requirements, hazard analysis, coverage planning, test generation, scorecards, release decisions, and continuous monitoring. Experience building or guiding validation scorecards, confidence rubrics, behavior protocols, or similar products used by multiple engineering teams. Experience reducing manual expert review through well-designed automation while preserving expert judgment where it matters. A track record of developing other engineers, leading technical communities, and making a broader organization better at systems engineering and validation. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. · The salary range for this role: is $189,300 to $290,700. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. · Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. · Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more About GM 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. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we re looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources . Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire . Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Requirements

Must-haves

What You’ll Do
Lead validation strategy for major capabilities and cross-cutting behaviors by connecting safety claims, legal and compliance expectations, hazard analysis, requirements, simulation tests, and release evidence.
Set the direction for behavior evaluation and simulation at scale across synthetic tests, road data, and counterfactual references, including scenario sourcing, sampling, orchestration, data quality, and reproducibility.
Lead cross-functional technical reviews and guide validation tools, data pipelines, simulation workflows, and analysis products toward repeatable systems; turning complex results into clear recommendations.
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 reading and writing production-quality analysis or validation software, reviewing designs and pull requests, and using code to test an engineering idea quickly.
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.
Evidence of setting direction beyond a single project, such as establishing a methodology, framework, lifecycle, platform, standard, or reusable validation process adopted by other engineers or teams.
What Will Give You a Competitive Edge
Human benchmarking for behavior and safety evaluation, including attentive human benchmark construction, human percentile methods, expert review, and the limits of human references.
Counterfactual analysis in simulation, including AV versus human or AV versus alternate-policy comparisons under matched scene conditions.
Experience building or using a safety case, writing or reviewing safety claims, and determining what validation evidence is needed to support those claims.
Strong familiarity with hazard analysis and structured safety methods such as STPA, FMEA, fault trees, scenario-based hazard analysis, or equivalent approaches.
Experience with risk quantification, risk acceptance, severity and exposure reasoning, risk budgets, and mitigation decisions.
Experience turning legal or regulatory expectations into a defensible compliance strategy with requirements, metrics, test coverage, and documented claims.
Experience designing validation lifecycles that connect scope definition, requirements, hazard analysis, coverage planning, test generation, scorecards, release decisions, and continuous monitoring.
Experience building or guiding validation scorecards, confidence rubrics, behavior protocols, or similar products used by multiple engineering teams.
Experience reducing manual expert review through well-designed automation while preserving expert judgment where it matters.

Nice-to-haves

Master s degree in systems engineering, mechanical engineering, aerospace engineering, electrical engineering, computer science, robotics, or a related field. Advanced degree is a plus.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Application prep

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Keywords to mirror

python

Platform: workday
Effort: long

Benefits

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Dental

Vision