Job description

Job Description Principal Software Engineer - Autonomy Behavior Validation The Role As a Principal Software Engineer in the Autonomy Behavior Validation team, you will set the technical direction for turning safety and behavior requirements into a production-grade counterfactual simulation product. You will build a capability that turns real incidents and simulation scenarios into trustworthy engineering evidence for developers, release decisions, and launch decisions. This includes scene reconstruction, implementation of safety-defined attentive-human benchmarks, human and other road-user response models, counterfactual simulation following intervention, controlled scene variation, outcome and severity estimation, and the validation needed to understand when a result is credible enough to support a decision. You will partner with Safety and other stakeholders to define and refine requirements and benchmark definitions, then turn them into scalable, auditable, and repeatable simulation workflows. What You’ll Do Set the technical strategy and architecture for counterfactual behavior evaluation, including operationalizing safety-defined attentive-human benchmarks, counterfactual simulation following human intervention, alternate-policy comparisons, and controlled scene perturbations. Lead the conversion of real incidents and simulation events into executable, provenance-preserving scenarios with enough fidelity, repeatability, and uncertainty characterization to support engineering and safety decisions. Implement and validate human and other road-user response models against agreed benchmarks and requirements, including perception and reaction timing, maneuver selection, vehicle dynamics, and the range of plausible outcomes. Define and deploy scalable pipelines for parameter extraction, scene reconstruction, counterfactual swaps, fuzzing, simulation execution, outcome estimation, and analysis of large scenario sets. Establish how the counterfactual product and its outputs are validated, including comparison to baseline runs, replay and closed-course evidence, model limitations, confidence, traceability to requirements, and appropriate use of results. Lead work across Behavior, Simulation, Safety, Human Factors, Legal, Product, and Operations, turning complex results into clear engineering actions, safety-case evidence, and release recommendations. Required Qualifications Master’s degree in systems engineering, mechanical engineering, aerospace engineering, electrical engineering, computer science, robotics, human factors, or a related field. 10 or more years of professional experience in autonomous vehicles, robotics, vehicle development, simulation, systems engineering, human factors, or safety-critical validation. A proven record of evaluating autonomous vehicles for a commercial fleet, launch, supervised release, or other high-consequence product decision. Strong understanding of human behavior modeling, driver response, perception and reaction time, vehicle dynamics, uncertainty, and the limits of model-based conclusions. Deep experience building or leading counterfactual, replay, crash reconstruction, incident analysis, or comparable simulation-based evaluation capabilities. Professional experience with simulation evaluation at scale, including scenario generation, parameter sweeps, distributed execution, reproducibility, data quality, and the trade-offs between fidelity, confidence, runtime, and cost. Strong Python and agentic workflow experience. You should be comfortable designing and reviewing production-quality analysis, simulation, and validation software and using code to investigate an engineering question quickly. Strong written and verbal communication skills, with the ability to explain technical results, assumptions, and limitations to both engineering and non-engineering stakeholders. Demonstrated technical leadership across organizational boundaries and evidence of setting direction beyond a single project through a methodology, platform, framework, or reusable validation capability adopted by other teams. What Will Give You a Competitive Edge Experience operationalizing attentive-human benchmarks from naturalistic driving data, human factors research, expert review, or experimentally grounded response-time and maneuver models. Experience with traffic collision reconstruction or incident reconstruction using vehicle logs, sensor data, maps, physical constraints, and other evidence sources. Experience modeling other road-user behavior and the interaction between ego behavior, participant response, and environmental conditions. Experience with collision severity, injury-risk, risk quantification, safety claims, safety cases, hazard analysis, or residual-risk decisions. Experience validating simulation fidelity and counterfactual predictions against real drives, non-intervened events, closed-course tests, or other independent evidence. Experience translating legal or regulatory expectations into defensible reconstruction methods, validation evidence, or documented claims. A track record of developing engineers, leading technical communities, and making a broader organization better at systems engineering, simulation, 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 $238,700 to $365,700. 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

Define and deploy scalable pipelines for parameter extraction, scene reconstruction, counterfactual swaps, fuzzing, simulation execution, outcome estimation, and analysis of large scenario sets.
Lead work across Behavior, Simulation, Safety, Human Factors, Legal, Product, and Operations, turning complex results into clear engineering actions, safety-case evidence, and release recommendations.
Required Qualifications Master’s degree in systems engineering, mechanical engineering, aerospace engineering, electrical engineering, computer science, robotics, human factors, or a related field.
10 or more years of professional experience in autonomous vehicles, robotics, vehicle development, simulation, systems engineering, human factors, or safety-critical validation.
A proven record of evaluating autonomous vehicles for a commercial fleet, launch, supervised release, or other high-consequence product decision.
Strong understanding of human behavior modeling, driver response, perception and reaction time, vehicle dynamics, uncertainty, and the limits of model-based conclusions.
Deep experience building or leading counterfactual, replay, crash reconstruction, incident analysis, or comparable simulation-based evaluation capabilities.
Strong written and verbal communication skills, with the ability to explain technical results, assumptions, and limitations to both engineering and non-engineering stakeholders.
Experience with traffic collision reconstruction or incident reconstruction using vehicle logs, sensor data, maps, physical constraints, and other evidence sources.
Experience modeling other road-user behavior and the interaction between ego behavior, participant response, and environmental conditions.
Experience with collision severity, injury-risk, risk quantification, safety claims, safety cases, hazard analysis, or residual-risk decisions.
Experience validating simulation fidelity and counterfactual predictions against real drives, non-intervened events, closed-course tests, or other independent evidence.
Experience translating legal or regulatory expectations into defensible reconstruction methods, validation evidence, or documented claims.
A track record of developing engineers, leading technical communities, and making a broader organization better at systems engineering, simulation, and validation.

Nice-to-haves

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

python

Platform: workday
Effort: long

Benefits

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Dental

Vision