Principal Software Engineer - Autonomy Behavior Validation

Job description

Job responsibilities

• Set the technical strategy and architecture for counterfactual behavior evaluation, including operationalizing safety-defined attentive-human benchmarks, counterfactual simulation following human intervention,…
• 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…
• 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…
• 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…
• 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.

Job requirements

• 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,…
• 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…
• Strong written and verbal communication skills, with the ability to explain technical results, assumptions, and limitations to both engineering and non-engineering stakeholders.