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Staff Software Systems Engineer - Autonomy Behavior

General Motors
Sunnyvale, USA
Full-time
Senior
Discovered 1 weeks ago
python
Free

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  • 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.
  • 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 self-driving 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.
  • 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

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