General Motors

Analytics Engineer, AV Safety Engineering

General Motors • $100K — $130K *
US-AnywhereRemote in United States
Transportation
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in a relevant technical field or equivalent experience
  • 5+ years analyzing large-scale engineering data
  • 5+ years in ADAS, autonomous vehicles, or robotics
  • Proficient in statistics for engineering data analysis
  • Experience transforming noisy sensor data into useful features
  • Strong problem-solving mindset and collaborative skills
  • Proficiency in Python and SQL programming languages
  • Experience with cloud-based large-scale analytics workflows

Responsibilities

  • Define and develop safety metrics for automated driving systems
  • Establish analytic approaches for safety assessment and development decisions
  • Monitor safety proactively and conduct targeted investigations
  • Support stakeholders by comparing real-world and simulated results
  • Process raw data to derive meaningful representations of vehicle behavior
  • Identify data validation issues using engineering judgment
  • Create clear visualizations to communicate safety insights
  • Build and maintain analytics infrastructure for safety assurance

Benefits

  • Remote work arrangement with occasional in-office attendance
  • Opportunity to work on cutting-edge automated driving technology
  • Cross-functional collaboration with engineering and data science teams
  • Contribution to critical safety-related decision-making in the automotive industry
  • Access to advanced data analytics tools and methodologies
Full Job Description
Job Description

Work arrangement: Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times per week, at minimum.

The Team

The AV Safety Engineering Analytics team supports safety-related decision-making across GM by developing analytics, metrics, and evidence from vehicle, simulation, and external data sources. The team supports both proactive safety monitoring and targeted investigations, and works across stakeholder groups to support engineering, validation, verification, and program decisions by turning complex technical data into usable guidance.

The Role

The AV Safety Engineering Analytics Engineer is an engineering role with a strong safety data science applied to physical systems focus, centered on developing the analyses, metrics, and evidence used to evaluate automated driving system safety and support decision-making. In this role, you will combine engineering judgment, data analysis, and statistical thinking to transform raw vehicle, simulation, and external data into safety metrics, investigations, and stakeholder-facing insights.

You will work with cross-functional partners to define and productionize safety-relevant metrics, establish evidence and sufficiency criteria used to assess system performance and launch readiness, and communicate findings clearly to stakeholders. This role regularly supports systems, safety, testing, and verification activities by helping translate data into decision-useful metrics and evidence. Interactive visualizations and scalable data pipelines are important enablers in this role, helping analyses scale, increasing transparency, and turning complex results into usable stories for decision-making.

What You'll Do

  • Define, prototype, and productionize safety and performance metrics for automated driving systems.


  • Establish analytic approaches and sufficiency criteria that support safety assessment, development decisions, and launch readiness.


  • Support proactive safety monitoring and targeted investigations tied to specific system-performance or safety questions.


  • Support systems, safety, testing, and verification stakeholders by comparing real-world and simulation-based results, identifying gaps, and helping improve the representativeness of evaluation methods.


  • Apply engineering and physics-based methods to process raw signals and derive meaningful representations of vehicle motion, driving context, and system behavior.


  • Distinguish sensor or pipeline errors from meaningful real-world outliers using engineering judgment and data validation methods.


  • Create interactive visualizations and reporting artifacts that communicate safety insights clearly, enhance transparency, and reduce barriers to interrogating source data in support of technical decision-making.


  • Build and maintain analytics infrastructure that supports safety assurance across development, validation, and deployment.


  • Develop reliable pipelines that ingest, transform, analyze, and publish data from vehicle systems, internal databases, simulation outputs, and external sources.


  • Optimize analytics code and workflows for scalable, automated cloud execution.


Your Skills & Abilities (Required Qualifications)

  • Bachelor's degree in Computer Science, Mechanical Engineering, Vehicle Engineering, Physics, or a related field, or equivalent practical experience


  • 5+ years of experience analyzing large-scale driving, vehicle, robotics, or similar engineering data


  • 5+ years of experience in ADAS, autonomous vehicles, robotics, or a related technical domain


  • Experience with statistics relevant to large-scale engineering data analysis, including sampling, bias management, and experimental design


  • Experience transforming noisy time-series or sensor data into analysis-ready features or metrics


  • Strong problem-solving skills and a proactive, learning-oriented mindset


  • Strong communication and collaboration skills, with the ability to work effectively across technical teams


  • Strong programming skills in Python and SQL


  • Experience building and operating cloud-based analytics or data-processing workflows at scale
  • Experience in some combination of the following is expected:
    • Programming & Frameworks: Python, SQL

    • Cloud & Big Data: cloud-based large-scale processing including notifications, queuing, serverless functions, event-driven processing, infrastructure as code, containerization, process monitoring, process optimization, identity and access management, and service-to-service access

    • Statistics: descriptive statistics, managing bias in large data mining activities, experimental design, and sampling strategies

    • DevOps / Infrastructure as Code: CI/CD, versioning, Docker, Kubernetes, GitHub, Jira, Jenkins, Poetry, Terraform

    • Data Analysis & Visualization: Tableau, PowerBI, Plotly/Dash, Shiny, Pandas, NumPy


What Will Give You a Competitive Edge (Preferred Qualifications)

  • Experience analyzing large-scale vehicle motion, driving context, automated-driving performance, or simulation data


  • Experience with driver behavior modeling, human performance benchmarking, causal inference, or counterfactual modeling techniques


  • Experience with systems engineering, verification and validation, simulation-based evaluation, scenario analysis, or work that bridges simulation and on-road safety assessment


  • Experience building stakeholder-facing dashboards or interactive analytics products


  • Experience with cloud or distributed data platforms, or with DevOps, CI/CD, containerization, or infrastructure-as-code workflows


  • Publications, conference participation, or other demonstrated engagement in vehicle-safety, safety-analytics, or related technical work


GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

#LI-SA2

About General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

General Motors Careers

Join the dynamic team at General Motors, a global leader in automotive innovation and technology. At General Motors, we offer unparalleled job opportunities that propel your career forward while contributing to a legacy of engineering excellence.

Work You’ll Do

Embark on a career with General Motors to drive the future of mobility. Our team is dedicated to redefining the automotive landscape through innovation and leadership in electric vehicles and sustainable solutions. By joining us, you will be part of a culture that values diversity, teamwork, and continuous professional growth.

Transform Your Career

General Motors is not just a company; it's a community where you can grow your skills alongside the best in the industry. Our leadership is committed to providing every employee—from interns to senior professionals—with opportunities for career advancement, leadership development, and diversity training.

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At General Motors, innovation is at the core of everything we do. From research and development to manufacturing, our teams work collaboratively to lead the industry with cutting-edge technologies and sustainable practices. We encourage our employees to think big and push the boundaries of what’s possible.

Join Our Global Team

As part of our global workforce, you will collaborate with talented individuals who are passionate about shaping the future of transportation. General Motors offers a variety of career paths in engineering, design, IT, marketing, and more. With over 155,000 employees worldwide, our network provides expansive opportunities for networking and professional development.

Internship Programs and Employment Benefits

Start your career journey with a General Motors internship, where you can apply your academic knowledge to real-world projects. Our internships provide a robust foundation in the automotive industry, with mentorship from experienced leaders. Full-time employees enjoy a wealth of benefits, including comprehensive health care, retirement plans, and performance bonuses, ensuring that your hard work is rewarded.

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Whether you’re a seasoned professional or a recent graduate, General Motors offers positions that leverage your unique skills. Our hiring process is designed to identify and nurture talent, focusing on aligning your capabilities with the right opportunities for growth within the company.

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Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Manufacturing & Automotive
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ
GM
* Ladders Estimates

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