General Motors

Safety Data Analysis Engineer - AV Operational Safety and Issue Response (GPSSC)

General Motors$129K — $198K *
US-AnywhereRemote in United States
Transportation
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in engineering, physics, applied mathematics, or related physical science
  • 5+ years experience analyzing large-scale telemetry or engineering data
  • Strong knowledge of Python and SQL
  • Experience with time-series analysis and signal processing
  • Ability to design ad hoc analyses into scalable methods
  • Experience in defining analytical requirements and communicating findings
  • Strong problem-solving and collaborative skills

Responsibilities

  • Respond to AV Safety Strategy requests for data analyses and investigations
  • Collaborate to conduct root-cause analyses for potential AV issues
  • Translate investigation needs into analysis and data requirements
  • Establish rapid incident-response analysis capabilities
  • Integrate various data sources into analysis-ready formats
  • Distinguish between data quality issues and operational outliers
  • Deliver concise analysis findings to partner teams
  • Generalize investigation workflows for reusable analytics

Benefits

  • Variety of health and wellbeing benefit programs
  • Medical, dental, and vision insurance
  • Health Savings Account and Flexible Spending Accounts
  • Retirement savings plan
  • Paid vacation and holidays
  • Tuition assistance programs
  • Employee assistance program and vehicle discounts
Full Job Description
Job Description

The Role

The AV Safety Engineering Analytics team is seeking an experienced Safety Data Analysis Engineer to provide engineering support for AV Operational Safety and Issue Response. This is a safety engineering role focused on data-driven issue response and investigation. You will combine engineering judgment, safety analysis, and strong data skills to investigate potential issues, organize event-related data, and develop evidence that supports AV Safety Assurance and AV Operational Safety decisions.

The role is designed for an engineer who is highly proficient in navigating, integrating, designing, and analyzing large-scale data. You will support rapid, highly iterative investigations involving specific vehicles, locations, software releases, event sequences, operational conditions, and other issue-relevant dimensions.

The scale of AV operations, including potential issues, actual events, readiness drills, and ongoing software releases, creates a need for rapid, detailed, event-driven analyses. At the same time, you will help convert repeatable investigation patterns into reusable analytics and issue-detection methods.

What You'll Do

  • Respond collaboratively to AV Safety Strategy and Assurance and AV Operations requests for potential issue-specific analyses, event-related data organization, and root-cause investigations.


  • Collaborate with Engineering, Operations, and Safety teams to investigate potential AV issues and conduct root-cause analyses.


  • Translate investigation needs into clear analysis requirements, data requirements, analytical designs, and execution plans in collaboration with requesting teams.


  • Establish and support rapid incident-response and targeted-analysis capabilities that leverage standing data pipelines as well as unique issue- and incident-relevant data sources.


  • Integrate vehicle telemetry, time-series signals, event and incident records, readiness-drill data, software-release information, location and operational context, and other relevant sources into analysis-ready datasets.


  • Distinguish data-quality, sensor, instrumentation, and pipeline issues from meaningful operational outliers using engineering judgment and data validation methods.


  • Deliver concise, technically rigorous analysis findings, readouts, and evidence that help partner teams assess potential operations safety issues and determine appropriate next steps.


  • Identify investigation workflows that can be generalized into reusable metrics, detection methods, pipelines, or analysis tooling without losing the flexibility required for issue investigation.


  • Apply engineering and physics-based methods, including signal decomposition, filtering, smoothing, sampling, and feature construction, to transform noisy signals into physically meaningful representations of vehicle behavior and system performance.


Your Skills & Abilities (Required Qualifications)

  • Bachelor's degree in engineering, physics, applied mathematics, or a related physical science.


  • 5+ years of relevant professional experience analyzing large-scale time-series, telemetry, vehicle, robotics, or other engineering data, including working with Robot Operating System (ROS) logs.


  • Strong working knowledge of Python and SQL.


  • Experience with time-series analysis, including signal decomposition, filtering, smoothing, sampling, feature construction, or related signal-processing methods.


  • Experience designing and executing ad hoc analyses while recognizing opportunities to develop scalable, repeatable analytical methods.


  • Experience gathering analytical requirements, defining data needs, selecting appropriate methods, and communicating findings to partner teams.


  • Strong problem-solving skills and the ability to work effectively in fast-moving, ambiguous, and highly iterative investigations.


  • Strong communication and collaboration skills, with the ability to craft fact-based reports through individual and collaborative work across safety, operations, human factors, data engineering, and emerging-issues teams.


What Will Give You A Competitive Edge (Preferred Qualifications)

  • Experience in autonomous vehicles, advanced driver-assistance systems, robotics, transportation safety, or a related domain.


  • Experience performing AV- or SDV-specific issue detection, anomaly detection, event investigation, or root-cause analysis.


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


  • Experience developing safety performance indicators, safety monitoring methods, or evidence used in safety assurance and operations decisions.


  • Experience working with cloud-based data platforms, distributed processing, or large-scale analytics workflows.


  • Experience with BigQuery or comparable cloud data platforms.


  • Familiarity with C++ or C++-based robotics and vehicle software environments.


  • Experience with Docker, Kubernetes, GitHub, CI/CD, version control, or related software-development workflows.


  • Experience collaborating with human-factors, operations, systems, validation, verification, or safety-assurance teams.


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


Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
• The salary range for this role is $129,400 - $198,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager.The selected candidate will be required to travel

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.

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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.

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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.

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

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