Job Description

PrincipalAISafetyEngineerfor Autonomous Vehicles:TechnicalLead 

The Safety Assurance for Effective Autonomous Driving Software (SAFE‑ADS) department is part of GM’s Global Product Safety, System, and Certification (GPSSC) organization. Our mission is tohelpGM delivertrustworthyautomated‑driving products.As the central authority for automateddriving system (ADS) safety, SAFE‑ADS brings together experts from across the company to develop andmaintaina comprehensive safety caseincluding safety performance indicatorsfor GM’s automated‑driving technologies.

GM’s vision is zero crashes, zero emissions, and zero congestion—and autonomous vehicle safety is essential to achieving that vision.

The Role

The AV Safety Strategy and Assessment team is seeking an AI SafetyTechnicalLeader with deep experience across the full end‑to‑end development lifecycle of automated driving system (ADS)technologydriven by artificial intelligence and machine learning models. As the AI Safety Principal Engineer, you will stay current on industry best practices and standards while guiding the development of GM’s AI safety strategyfor autonomous vehicles(AV). This role requiressignificantexperiencedrivingthetechnologydevelopment and validation of AI models for safety‑critical applications. The ideal candidate will bring strong AI domainexpertiseacross safety engineering, data lifecycle management, model development, verification and validation, frameworks and tools, and operational assurance.

Ifyou'repassionate about autonomous vehicle technology, committed to advancing safety through innovation, and are a proven technical leader, this role offers an exciting opportunity to make a meaningful impact on the future of transportation safety in a dynamic and fun environment.

As theAI Safety Principal EngineerforAV,you will work closely with cross‑functional partners and customers to define safety strategies andsufficiency criteriafor AI/ML‑basedADSfeatures. You will engage deeply with stakeholders to understand their challenges and needs, collaborate on newAI/MLsolutions,andevaluate the safety of models and cloud environmentsto supportsafety-critical applications. In this role, you will alsoprovidesafety guidance to a team of AI/ML developersand system engineers.Leveraging your experience with industry standards such as ISO/PAS 8800, you will champion GM’s AI safety case framework and help ensure the safe deployment of AI‑enabledADStechnologies.

WhatYou’llDo(Responsibilities)

• Lead the development of AI safety strategies forADSandestablishsafetyengineering guidance and sufficiency criteria.

• Actively engage with partnersand seek input,provide technicalexpertiseto inform leadership decision-making,and take ownership of technical projects

• Define GM’s strategy for AI safetystandards,engage externally toinfluence evolving standards, and contribute tointernal and externalthought leadership that strengthens GM’s position in the autonomous vehicle ecosystem.

• Support regulatory rulemaking and policy responses related to AI safety‑critical systems.

• Establish an assurance plan and process to evaluate AI‑related safety case evidence and verify that sufficiency criteria are met.

• Provide AIexpertiseand safety guidance across Global Product Safety, Systems, and Certification activities.

• Identifyand drive opportunities to improve the efficiency and quality of safety work through the application of AI methodologies.

• Mentor and develop team members, fostering a culture of technical excellence and continuous learning.

Your Skills & Abilities(RequiredQualifications)

• Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience

• 10+ years of experience inAI/ML,engineeringor a related field

• 5+ years in autonomous vehicles,roboticsor related field

• Experience in the following:

• Machine Learning& AI:Extensiveexperience in buildinglarge-scalemodelswithsignificantfocus onE2Evalidation.Experience usingLarge Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM,XGBoost, Random Forest, Decision Trees, Clustering 

• AI Standardsand Evolving Regulations:Understanding ofISO/PAS8800,NIST AI Risk Management Framework,EU AI Act (2024-2027),otherapplicable industry standards and best practices for autonomous vehicles,aerospaceand/or robotics.

• Programming & Frameworks: Python, R, Java,PySpark,PyTorch, TensorFlow, Scikit-learn,LangChain, SQL

• Cloud & Big Data Platforms: (PreferredMicrosoft Azure-Data Lake, Machine Learning, Databricks),Nice to Have(AWS-S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform)

• Deployment &MLOps:MLflow,Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira

• Data Analysis & Visualization: Tableau,PowerBI, Pandas, NumPy

• Proventrack recordproviding technicalsafetyand validationleadership in AI/MLdevelopmentand deployment

• Excellent communication and collaboration skills, with the ability to work effectively in a team environment

• Strong problem-solving mindset and a proactive attitude towards learning and self-improvement

What Will Give YouACompetitive Edge (Preferred qualifications)

• Master’sorPh.D.inComputer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience

• Relevant publication

• Expertisewith Large Language Models solutions from business problem statement to cloud deploymentthat have provided significant incremental business value

• Experience with generative AIsolutions that you have developed and deployed into a production environmentthat have provided significant incremental business value

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 $250,600 and $384,600. 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.

Company vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

#LI-KE2

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 <25% for this role. This job may be eligible for relocation benefits. The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).

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

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

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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.

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