Principal AI Safety Engineer for Autonomous Vehicles: ...

Job Description Princip al AI Safety Engineer for Autonomous Vehicles : Technical L ead The Safety Assurance for Effective Autonomous Driving Software (SAFEu2011ADS) department is part of GMu2019s Global Product Safety, System, and Certification (GPSSC) organization. Our mission is to help GM deliver trustworthy automatedu2011driving products. As the central authority for automated driving system (ADS) safety, SAFEu2011ADS brings together experts from across the company to develop and maintain a comprehensive safety case including safety performance indicators for GMu2019s automatedu2011driving technologies. GMu2019s vision is zero crashes, zero emissions, and zero congestionu2014and autonomous vehicle safety is essential to achieving that vision. The Role The AV Safety Strategy and Assessment team is seeking an AI Safety Technical Leader with deep experience across the full endu2011tou2011end development lifecycle of automated driving system (ADS) technology driven 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 GMu2019s AI safety strategy for autonomous vehicles (AV). This role requires significant experience driving the technology development and validation of AI models for safetyu2011critical applications. The ideal candidate will bring strong AI domain expertise across safety engineering, data lifecycle management, model development, verification and validation, frameworks and tools, and operational assurance. If you're passionate 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 the AI Safety Principal Engineer for AV, you will work closely with crossu2011functional partners and customers to define safety strategies and sufficiency criteria for AI/MLu2011based ADS features. You will engage deeply with stakeholders to understand their challenges and needs, collaborate on new AI/ML solutions, and evaluate the safety of models and cloud environments to support safety-critical applications. In this role, you will also provide safety guidance to a team of AI/ML developers and system engineers. Leveraging your experience with industry standards such as ISO/PAS 8800, you will champion GMu2019s AI safety case framework and help ensure the safe deployment of AIu2011enabled ADS technologies. What Youu2019ll Do ( 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 GMu2019s strategy for AI safetystandards,engage externally toinfluence evolving standards, and contribute tointernal and externalthought leadership that strengthens GMu2019s position in the autonomous vehicle ecosystem. + Support regulatory rulemaking and policy responses related to AI safetyu2011critical systems. + Establish an assurance plan and process to evaluate AIu2011related 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 (Required Qualifications ) + Bacheloru2019s 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 S tandards and 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: ( _Preferred_ Microsoft 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 You A Competitive Edge (Preferred qualifications) + MasterComputer 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. u2022 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. u2022 Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: u2022 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 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 u2013 individually and collectively u2013 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, we're looking out for your well-beingu2013at work and at homeu2013so 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. 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Created: 2026-03-25