[Remote] Principal Software Engineer - Autonomy Behavior Validation

Note: The job is a remote job and is open to candidates in USA. General Motors is an automotive company focused on advancing safer, more equitable transportation through its vision of Zero Crashes, Zero Emissions and Zero Congestion. The Principal Software Engineer will lead the technical strategy, architecture, and implementation of a production-grade counterfactual simulation product for autonomous vehicle behavior validation, including scenario reconstruction, human response modeling, scalable simulation pipelines, and evidence-based safety and release decisions.

Responsibilities

• 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

Skills

• 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
• 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

Benefits

• An incentive pay program offers payouts based on company performance, job level, and individual performance.
• Medical benefits
• Dental benefits
• Vision benefits
• 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

Company Overview

Company H1B Sponsorship