General Motors Logo

General Motors

Principal Software Systems Engineer - Autonomy Behavior Validation

Posted 12 Days Ago
Be an Early Applicant
Hybrid
Sunnyvale, CA, USA
239K-366K Annually
Expert/Leader
Hybrid
Sunnyvale, CA, USA
239K-366K Annually
Expert/Leader
Sets technical direction for counterfactual autonomy behavior validation, including scene reconstruction, human and road-user response modeling, controlled scenario variation, simulation pipelines, outcome estimation, and validation. Converts real incidents into reproducible, auditable scenarios and establishes confidence, traceability, and appropriate use of simulation results. Leads cross-functional work across safety, simulation, human factors, legal, product, and operations to produce engineering actions, safety-case evidence, and release recommendations.
The summary above was generated by AI
Description
Principal Software Systems Engineer - Autonomy Behavior Validation
The Role
As a Principal Software Systems 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 self-driving 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.
Total Rewards | 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 [email protected] 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.

General Motors Mountain View, California, USA Office

General Motors Mountain View Tech Center Office

Opened in 2024, our Mountain View facility serves as a hub for research and innovation in Silicon Valley. Designers, engineers, and staff at this state-of-the-art campus support the advancement of General Motors’ product portfolio through software development, engineering and design.

Similar Jobs at General Motors

2 Hours Ago
Hybrid
Mountain View, CA, USA
Senior level
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Design, develop, and architect scalable Golang software supporting enterprise data architecture. Lead technical design, collaborate across teams, mentor engineers, solve complex technical problems, and contribute to Agile delivery practices. Ensure software quality through code reviews, automated testing, CI/CD, and operational support while shaping technical roadmaps and architectural direction.
Top Skills: Ci/CdGitGoSafe
2 Hours Ago
Hybrid
Sunnyvale, CA, USA
123K-189K Annually
Entry level
123K-189K Annually
Entry level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develop behavior validation products for autonomous vehicle software, including scorecards, protocol analysis workflows, data pipelines, and dashboards. Build Python-based prototypes and production solutions, integrate analytical workflows with user-facing tools, and improve system scalability, reliability, performance, and maintainability. Collaborate with engineering, safety, product, and AI teams to translate stakeholder needs into technical designs, measurable outcomes, and launch-readiness insights.
Top Skills: APIsPython
2 Hours Ago
Hybrid
Sunnyvale, CA, USA
125K-193K Annually
Senior level
125K-193K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develop and mature advanced automotive display optics, cover glass, coatings, optical films, and bonding technologies. Define requirements, lead supplier proof-of-concept evaluations, establish optical characterization and benchmarking methods, analyze performance data, resolve optical defects, validate solutions under automotive reliability conditions, and support technology transfer into sourcing and production programs.
Top Skills: Anti-Fingerprint CoatingsAnti-Glare CoatingsAnti-Reflective CoatingsBrightness Enhancement Films (Bef/Dbef)Chemically Strengthened GlassDiffuser FilmsDisplay Stack IntegrationLcdMini-LedOcaOcrOledOptical BondingOptical CharacterizationOptical FilmsOptical SimulationPolarizersPolymer Cover LensesPrism Films

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account