Analytics Engineer, AV Safety Engineering

General Motors (GM)

Closes in 4 days Remote Hybrid

Quick summary

Work type
Remote
Location
Atlanta, GAAustin, TXDetroit, MIWarren, MIMilford, CTMountain View, CA
Posted
5 days ago
Closes
Jun 19, 2026 (soon)

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Salary context

How this pay compares to similar roles

Similar $169k
$124k most similar roles pay here $211k

This listing doesn't post a salary. Most similar roles pay $135,000–$202,575.

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 129 open roles on FindRole.

Listed pay typically runs $160,200–$261,300 across 76 roles with salary data.

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At a glance

TL;DR · Analytics Engineer, AV Safety Engineering

As an AV Safety Engineering Analytics Engineer at GM’s SAFE-ADS department, you will join a team dedicated to ensuring the safety of autonomous driving systems. Your role involves developing and productionizing metrics for automated driving systems, establishing analytic approaches for safety assessment, and supporting proactive monitoring and targeted investigations. You will work with cross-functional partners to define and maintain analytics infrastructure that supports development, validation, and deployment phases. Key responsibilities include transforming raw data into actionable insights through engineering judgment, statistical analysis, and interactive visualizations. Essential skills include strong programming in Python and SQL, experience with cloud-based large-scale processing, and proficiency in tools like Tableau and Plotly/Dash for data visualization. This role requires a Bachelor’s degree or equivalent practical experience, along with 5+ years of relevant industry experience in ADAS, autonomous vehicles, or robotics.

What you'll do

  • Define and productionize safety and performance metrics for automated driving systems.
  • Establish analytic approaches and sufficiency criteria to support safety assessment and development decisions.
  • Support proactive monitoring and targeted investigations related to system performance and safety questions.
  • Apply engineering methods to process raw signals and derive meaningful representations of vehicle behavior.
  • Distinguish sensor errors from real-world outliers using data validation techniques.
  • Create interactive visualizations that communicate safety insights clearly for decision-making.
  • Build and maintain analytics infrastructure supporting safety assurance across development phases.

What we're looking for

  • 5+ years of experience analyzing large-scale driving or vehicle data.
  • Bachelor’s degree in Computer Science, Mechanical Engineering, Physics, or a related field.
  • Strong programming skills in Python and SQL.
  • Experience with statistics for large-scale engineering data analysis.
  • Experience transforming noisy sensor data into analysis-ready metrics.

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