Engineering Principal Software Engineer

• Autonomy Behavior Validation 위치 Sunnyvale, California (+) Show all locations
• ) Hide all locations 직무 유형 Full time 게시됨 9 03 2026 Job Requisition

JR-202619120

설명 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 다양성 정보 General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다. 자세한 정보는 GM 채용 과정 안내 를 참고하십시오. 공평한 취업 기회 선언 (미국) General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다. 자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 숙소 (미국 및 캐나다) General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 Careers.

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