[Skip To Content]

Senior AI Governance Specialist – Vehicle Motion Software

  • 위치
    • Milford, Michigan
  • 직무 유형 Full time
  • 게시됨
  • Job Requisition JR-202613704

설명

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: 

There’s 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 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 <25% for this role.

이 직무는 하이브리드 직무로 분류됩니다. 즉, 선발된 지원자는 특정 근무지로 주 3일 이상(또는 관리자가 지정한 다른 빈도로) 특정 근무지로 출근해야 합니다.

선발된 지원자는 이 직무를 위해 25% 미만의 출장을 다녀야 합니다.

다양성 정보

General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다.  자세한 정보는 GM 채용 과정 안내를 참고하십시오.

공평한 취업 기회 선언 (미국)

General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다.  자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 

숙소 (미국 및 캐나다)

General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.