[Hiring] Principal AI Safety Engineer for Autonomous Vehicles: Technical Lead @General Motors

Role Description

The AV Safety Strategy and Assessment team is seeking an AI Safety Technical Leader with deep experience across the full end-to-end 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 GM’s AI safety strategy for autonomous vehicles (AV).

• Lead the development of AI safety strategies for ADS and establish safety engineering guidance and sufficiency criteria.
• Actively engage with partners and seek input, provide technical expertise to inform leadership decision-making, and take ownership of technical projects.
• Define GM’s strategy for AI safety standards, engage externally to influence evolving standards, and contribute to internal and external thought 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 AI expertise and safety guidance across Global Product Safety, Systems, and Certification activities.
• Identify and 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.

Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience.
• 10+ years of experience in AI/ML, engineering or a related field.
• 5+ years in autonomous vehicles, robotics or related field.
• Extensive experience in building large-scale models with significant focus on E2E validation.
• Understanding of ISO/PAS 8800, NIST AI Risk Management Framework, EU AI Act (2024-2027), and other applicable industry standards and best practices for autonomous vehicles, aerospace and/or robotics.
• Proven track record providing technical safety and validation leadership in AI/ML development and 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.

Requirements

• Experience using Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering.
• Programming: 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.

Benefits

• GM offers a variety of health and wellbeing benefit programs including 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.
• Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.