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Senior AI Governance Specialist – Vehicle Motion Software

GM


Job Location:

Milford, CT - USA

Monthly Salary: Not provided by the employer
Posted: 8 August 2026 (30+ days ago)
Application Deadline: 5 November 2026
Vacancies: 1 Vacancy

Job Summary

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.

Our Mission:

Theres never been a more exciting time to work at General Motors! We are passionate about our bold vision of a world with Zero Crashes Zero Emissions and Zero Congestion. Our culture is built on inclusivity where diverse perspectives are embraced and every employee can contribute to their fullest potential. We offer flexible and tech-savvy work environments foster innovation through collaboration and encourage community engagement through volunteerism.

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 VMECs primary lead on AI governance methodology and acts as the bridge between software engineering system safety and enterprise AI governance bodies.

What Youll Do:

  • Derive and maintain VMECs AI governance framework from applicable standards including ISO 26262 ISO/PAS 8800 ISO/IEC TR 5469 ISO 21448 (SOTIF) and GMs AI Policy.
  • Establish methodology to classify all AI elements and AI-powered tools within VMECs 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 VMECs 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 VMECs 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 VMECs participation in AI tool inventory reviews and compliance assessments.
  • Align with GMs 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):

  • Bachelors 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 (AD) 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):

  • Masters 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 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 <25% for this role.

About GM

Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day individually and collectively to drive meaningful change through our words our deeds and our culture. Every day we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one were looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex race color national origin citizenship status religion age disability pregnancy or maternity status sexual orientation gender identity status as a veteran or protected veteran or any other similarly protected status in accordance with federal state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment email us or call your email please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


Required Experience:

Senior IC


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