AV Safety Engineering Analytics Simulation Engineer (GPSSC)

General Motors (GM)

Remote Hybrid

Quick summary

Work type
Remote
Location
Remote
Posted
4 days ago

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Similar $174k
$129k most similar roles pay here $220k

This listing doesn't post a salary. Most similar roles pay $137,979–$209,500.

Based on 240 similar postings.

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About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 131 open roles on FindRole.

Listed pay typically runs $170,000–$258,500 across 75 roles with salary data.

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TL;DR · AV Safety Engineering Analytics Simulation Engineer (GPSSC)

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The AV Safety Engineering Analytics team at a leading automotive company is seeking an experienced Engineer with expertise in vehicle engineering, data science, cloud processing, and scaled vehicle simulation. This role involves developing data analytics infrastructure that bridges simulation and real-world environments to support safety assurance activities for automated vehicles. Day-to-day responsibilities include prototyping performance metrics, configuring custom observers for simulation pass/fail criteria, and collaborating with cross-functional teams to ensure comprehensive coverage of driving scenarios. The ideal candidate will have a strong background in autonomous vehicle simulation platforms, proficiency in Python and SQL, extensive cloud-based big data experience, and skills in data analysis and visualization tools such as Tableau and Plotly/Dash. This position offers the opportunity to work on cutting-edge technology that impacts transportation safety at scale.

Skills

Python SQL AWS Kubernetes Terraform Docker CI/CD GitHub Jira Jenkins Tableau PowerBI Plotly Dash Pandas NumPy Prometheus Grafana

What you'll do

  • Develop data analytics infrastructure for safety assurance in both simulation and real-world settings.
  • Configure custom observers to assess pass/fail criteria in autonomous vehicle simulations.
  • Validate the safety performance of automated driving systems using trustworthy methods.
  • Pilot metrics for monitoring development operations and deployment readiness.
  • Integrate cloud-based continuous up-time analytics solutions for performance monitoring.

What we're looking for

  • 5+ years of experience in autonomous vehicles or robotics
  • Bachelor’s degree in Computer Science, Mechanical Engineering, Vehicle Engineering, Physics, or related field
  • Extensive experience with cloud-based large-scale processes and infrastructure as code
  • Demonstrated experience with autonomous vehicle simulation platforms and scenario development
  • Proficiency in Python, SQL, and data analysis & visualization tools
  • Strong problem-solving skills and proactive learning attitude

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