United States Hybrid

General Motors is hiring a Safety Modeling Engineer

General Motors is hiring a Safety Modeling Engineer to join the AV Safety Data Analytics team. In this role, you will lead the development of quantitative safety modeling capabilities and driver behavior models that establish human performance benchmarks for automated driving systems.

What You'll Do

  • Develop driver behavior models representing human response in safety-critical scenarios.
  • Build statistical and machine learning models using large-scale driving and simulation datasets.
  • Analyze data to derive behavioral benchmarks and safety performance metrics.
  • Build scalable modeling pipelines and data workflows.
  • Partner with cross-functional teams to translate modeling results into safety evaluation methods.
  • Contribute to safety assessments and safety case evidence.

What We're Looking For

  • Bachelor’s or higher degree in Engineering, Data Science, Applied Mathematics, Physics, Computer Science, or a related field.
  • Expertise in human performance and capabilities, perception, response and behaviors.
  • Strong proficiency in Python and SQL and data visualization.
  • Experience with DevOps and Infrastructure as Code: CI/CD, versioning, Docker & Kubernetes, GitHub, Jira, Jenkins, Poetry, Terraform.
  • Experience working with perception, planning and control output.
  • Experience developing statistical or machine learning models using large datasets.
  • Experience with behavioral modeling, human performance analysis, or simulation-based analytics.
  • Demonstrated ability to analyze cross-disciplinary problems and propose practical modeling solutions.
  • Strong analytical and problem-solving skills.
  • Ability to communicate technical results to cross-functional stakeholders.

Nice to Have

  • Master’s or Ph.D. in a relevant technical field.
  • Relevant publication.
  • Experience with driver behavior modeling or human performance benchmarking.
  • Experience with causal inference or counterfactual modeling techniques.
  • Familiarity with simulation-based evaluation or scenario analysis.
  • Experience working with cloud or distributed data platforms.

Technical Stack

  • Python, SQL, Docker, Kubernetes, GitHub, Jira, Jenkins, Poetry, Terraform

Team & Environment

You will be part of the AV Safety Data Analytics team, building the next generation of quantitative safety modeling capabilities.

Benefits & Compensation

  • Company vehicle evaluation program.

Work Mode

This is a hybrid position based in one of the following locations: Atlanta, Austin, Detroit, Warren, Milford, or Mountain View.

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion. We embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

Required Skills
PythonSQLDockerKubernetesGitHubJiraJenkinsPoetryTerraformData VisualizationCI/CDInfrastructure as CodePerception SystemsPlanning Systems
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About company
General Motors
General Motors is an automotive company with a vision for a world with Zero Crashes, Zero Emissions and Zero Congestion.
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Job Details
Department Data and Analytics
Category data
Posted 2 months ago