General Motors

Senior AI Governance Specialist - Vehicle Motion Software

General Motors • $110K — $130K *
Milford, MI 48381In-Person
Manufacturing & Automotive
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in relevant engineering field (Electrical, Computer, Systems, Mechanical).
  • 5+ years of experience in embedded controls, software safety, or systems engineering for safety-critical systems.
  • Knowledge of ISO 26262 and ISO/PAS 8800 applicable to AI/ML.
  • Understanding of ISO 21448 (SOTIF) principles regarding AI performance.
  • Familiarity with GM vehicle safety requirements and ASIL determination.
  • Experience with AI/ML concepts and tool qualification processes.

Responsibilities

  • Establish and maintain the AI governance framework according to key automotive safety standards.
  • Classify AI elements within VMEC's scope based on ISO usage levels.
  • Develop and scale the VMEC AI Governance Process and associated documentation.
  • Integrate AI governance into existing software development and product lifecycle processes.
  • Translate AI safety standards into actionable engineering guidance for VMEC.
  • Conduct gap analyses to align software processes with safety and governance standards.
  • Lead assessments of AI tools for safety-critical applications according to compliance standards.

Benefits

  • Comprehensive health and wellbeing program, including medical, dental, and vision.
  • Health Savings Accounts and Flexible Spending Accounts.
  • Retirement savings plan and associated financial benefits.
  • Employee assistance program and life insurance coverage.
  • Tuition assistance and employee discounts on GM vehicles.
  • Paid vacation and holidays.
  • Potential for relocation benefits.
Full Job Description
Job Description

Work Arrangement:

Hybrid:

This role is categorized as hybrid. This means the successful candidate is expected to report to Milford, MI three days (Tues., Wed., Thurs.) a week, at minimum.

The Role:

The AI Governance Specialist is responsible for establishing, executing, and continuously improving the AI governance framework for vehicle motion software product portfolio. This role provides technical leadership to ensure that all AI elements - whether embedded in vehicle products (e.g., vehicle motion control) or used in the software development process (e.g., AI-assisted requirement generation, test case generation, code tools) comply with applicable automotive safety standards and GM AI policies. The engineer serves as VMEC's primary lead on AI governance methodology and acts as the bridge between software engineering, system safety, and enterprise AI governance bodies.

What You'll Do:
  • Derive and maintain VMEC's AI governance framework from applicable standards including ISO 26262, ISO/PAS 8800, ISO/IEC TR 5469, ISO 21448 (SOTIF), and GM's AI Policy.
  • Establish methodology to classify all AI elements and AI-powered tools within VMEC's scope using ISO 8800 usage levels, distinguishing in-product AI from off-line development AI.
  • Develop and own the VMEC AI Governance Process and documentation aligned with ISO 26262 and ISO 8800 requirements. Pilot and scale up the process.
  • Integrate AI governance requirements into existing VMEC software development processes and product lifecycle stages.
  • Interpret and translate ISO 26262, ISO/PAS 8800, ISO 21448 and ISO/IEC 5469 requirements into actionable VMEC engineering guidance.
  • Conduct gap analyses between current VMEC software processes, GM safety requirements, and applicable AI governance standards; prioritize and drive closure plans.
  • Monitor the evolving AI standards landscape and proactively assess impact on VMEC processes.
  • Maintain a comprehensive inventory of AI elements and AI-powered tools used within VMEC's product and process scope.
  • Lead tool confidence level (TCL) determination per ISO 26262 and ISO 8800, assessing Tool Impact (TI) and Tool Error Detection (TD) for each AI tool in safety-critical workflows.
  • Define and execute tool qualification plans for AI tools requiring qualification (e.g., AI-assisted test case generators, ML model trainers, code generation tools used in ASIL-rated software).
  • Establish criteria and checklists for onboarding new AI tools into VMEC's governed ecosystem.
  • Define and implement AI lifecycle controls encompassing data governance, model development oversight, verification and validation requirements, performance bounds, and operational guardrails.
  • Develop and maintain processes for generating audit-ready AI governance artifacts (AI safety case evidence, tool qualification reports, data governance documentation).
  • Support VMEC's participation in AI tool inventory reviews and compliance assessments.
  • Align with GM's enterprise AI Governance Council, Enterprise Data Governance Office (EDGO), and GM AI Policy compliance requirements including data privacy, security, and export control considerations.
  • Serve as the VMEC subject matter expert for AI safety standards; provide training and guidance to software engineers, system engineers, and leadership on AI governance obligations.
  • Lead and support the VMEC AI Community of Practice (AI CoP) on governance topics; develop and maintain reference materials on ISO 26262 and ISO 8800 applicability guidance.
  • Partner with leadership to operationalize governance as an enabler of safe, scalable AI adoption across VMEC.
  • Harmonize VMEC AI governance practices with broader GM standards.
  • Represent VMEC in internal and external AI standards forums as needed.


Your Skills & Abilities (Required Qualifications):
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Systems Engineering, Mechanical Engineering, or a related field.
  • 5+ years of experience embedded controls, software safety, or systems engineering for safety critical systems such as automotive or aerospace.
  • Knowledge of ISO 26262 and ISO/PAS 8800, including their interaction and tailoring for AI/ML components.
  • Understanding of ISO 21448 (SOTIF) principles - functional insufficiencies, triggering conditions, and their relevance to AI system performance.
  • Knowledge of GM vehicle safety requirements, ASIL (A-D) determination, and functional safety documentation requirements
  • Understanding of vehicle motion software development processes and toolchains
  • Experience with AI/ML concepts: supervised learning, model training and validation, data quality assessment, uncertainty quantification, bias, and robustness evaluation.
  • Familiarity with tool confidence level (TCL) determination and software tool qualification processes per ISO 26262.
  • Systems thinking - ability to reason across the full vehicle software lifecycle from hazard to control to evidence.
  • Learning agility - keeps pace with rapidly evolving AI standards and technology landscape.
  • Collaboration - effectively partners with safety, software, and program teams; builds trust with technical peers.
  • Communication - translates regulatory complexity into clear, practical guidance for engineering teams.


What Will Give You A Competitive Edge (Preferred Qualifications):
  • Master's degree in Electrical Engineering, Computer Engineering, Systems Engineering, Mechanical Engineering, or a related field.
  • 8+ years of experience embedded controls, software safety, or systems engineering for safety critical systems such as automotive or aerospace.Formal training or certification in ISO 26262 and ISO 8800
  • Working knowledge of ISO 26262 and ISO/PAS 8800, including their interaction and tailoring for AI/ML components.
  • Solid understanding of ISO 21448 (SOTIF) principles - functional insufficiencies, triggering conditions, and their relevance to AI system performance.
  • Familiarity with ISO/IEC 42001 (AI Management System), ISO/IEC TR 5469 (Functional Safety and AI Systems)
  • Background in vehicle motion or equivalent embedded controls software development for vehicle motion control (e.g., brake controls, propulsion, chassis, AWD, or equivalent automotive domain).
  • Experience with AI-assisted development toolchains in automotive contexts
  • Hands-on experience with ML model development and deployment tools
  • Knowledge of enterprise-wide AI Policy and AI impact assessment processes


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.

Relocation:

This job may be eligible for relocation benefits.
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.

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.

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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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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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