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Senior AI & AV Safety Researcher

General Motors

$130,800 - $200,400
May 9, 2025
Remote, US
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The Safety Assurance for Effective Autonomous Driving Software team at General Motors needs a Senior Systems and Safety Engineer to support the development, validation, and compliance of autonomous vehicle software systems.

Requirements

  • Demonstrated expertise in data analysis, statistical modeling, and machine learning applied to safety-critical systems.
  • Deep understanding of AV safety principles, traffic law compliance, and behavioral modeling.
  • Proficiency with Python and data analysis tools (e.g., NumPy, pandas, scikit-learn, SQL, Databricks).
  • Experience with counterfactual reasoning or driver modeling frameworks.
  • Familiarity with real-world driving datasets (e.g., SHRP2, crashdatabases).
  • Experience with AV simulation platforms (e.g., Carla, Apollo, NVIDIA DRIVE Sim).
  • Familiarity with Functional Safety (ISO 26262), SOTIF (ISO 21448), UL 4600.

Responsibilities

  • Define and refine safety and traffic compliance metrics for AV software based on data-driven insights.
  • Lead the development of counterfactual driver behavior models to simulate alternative outcomes in near-miss or intervention scenarios.
  • Analyze large-scale real-world and simulation datasets to identify leading indicators of risk, unsafe behaviors, or non-compliance events.
  • Model collision scenarios and dynamics to assess severity, avoidability, and control system response.
  • Translate statistical findings into actionable safety recommendations for engineering and policy teams.
  • Contribute to safety case development and internal documentation supporting AV software releases.
  • Support alignment with internal and external standards

Other

  • M.S. or Ph.D. in Systems Engineering, Mechanical Engineering, Applied Statistics, Robotics, or a related field.
  • 5+ years of experience in safety systems, AV development, or traffic safety analysis.
  • Excellent written and verbal communication skills; ability to present complex data clearly to technical and non-technical audiences.
  • Relocation costs would be the responsibility of the selected candidate.