Principal AI Safety Engineer – Technical Lead, Autonomous Vehicles

🕒 March 23

🇺🇸 United States – Remote

💵 $250.6k - $384.6k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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General Motors

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1908

🚗 Transport

⚡ Energy

🏢 Enterprise

💰 $500M Grant on 2024-07

Transport • Energy • Enterprise

General Motors is a leading multinational corporation in the automotive industry, committed to creating a future with zero crashes, zero emissions, and zero congestion. With operations and facilities worldwide, GM focuses on innovation across various areas including engineering, manufacturing, and information technology. The company emphasizes diversity, inclusion, and the development of sustainable technologies to shape the future of mobility.

📋 Description

• 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.

🎯 Requirements

• 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. • Experience using Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering. • Understanding of ISO/PAS 8800, NIST AI Risk Management Framework, EU AI Act (2024-2027), other applicable industry standards and best practices for autonomous vehicles, aerospace and/or robotics. • Proficient in Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL. • Experience with Cloud & Big Data Platforms (Preferred Microsoft Azure - Data Lake, Machine Learning, Databricks), with Nice to Have in AWS - S3, SageMaker, Bedrock or Google Cloud Platform (BigQuery, Dataflow, AI Platform). • Experience in Deployment & MLOps: MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira. • Experience in Data Analysis & Visualization: Tableau, PowerBI, Pandas, NumPy. • 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.

🏖️ 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.