Safety Modeling Engineer – Collision Severity And Safety Impact Modeling (gpssc)

General Motors Australia & New Zealand

Atlanta, Georgia, USA
Fully remote (with a requirement to report to a local office at least three times per week for those within a 50-mile radius of select locations)
Counterfactual collision outcome modeling
Machine learning and physics-informed methods
Large-scale real and simulated driving datasets
General Motors is seeking a Safety Modeling Engineer to enhance quantitative safety modeling capabilities for automated driving systems. This fully remote role requires expertise in vehicle safety and advanced modeling techniques to evaluate collision outcomes and severity

Job Summary

  • The AV Safety Engineering Analytics team is building the next generation of quantitative safety modeling capabilities for automated driving systems.
  • You will integrate domain expertise to design and build models that answer foundational questions such as: How would collision outcomes change under different response strategies?
  • Your work will define how collision outcomes and severity are modeled and evaluated, directly influencing safety strategy, performance benchmarks, and product decision making.

Matching Summary

Match Score: 85

General Motors is seeking a Safety Modeling Engineer to enhance quantitative safety modeling capabilities for automated driving systems. This fully remote role requires expertise in vehicle safety and advanced modeling techniques to evaluate collision outcomes and severity.

Skills & Requirements

Must-have

  • Counterfactual collision outcome modeling
  • Machine learning and physics-informed methods
  • Large-scale real and simulated driving datasets
  • Scalable evaluation pipelines
  • Python and SQL proficiency
  • DevOps and Infrastructure as Code

Nice-to-have

  • Causal inference techniques
  • Collision analysis experience
  • Simulation-based evaluation
  • Cloud or distributed data platforms

Key Requirements

  • Bachelor's or higher degree in Engineering, Data Science, Applied Mathematics, Physics, Computer Science, or related field
  • Expertise in vehicle safety, safety impact assessment, injury risk assessment, or related fields
  • Experience developing statistical or machine learning models
  • Experience with simulation-based analysis, safety analytics, or risk modeling

Work Rights

Not specified

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