Principal AI/SOTIF Safety Engineer Technical Lead: General Motors

General Motors (GM) is a global automotive company committed to a vision of zero crashes, zero emissions, and zero congestion, with autonomous vehicle (AV) safety at its core. The role is within the Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department in the Global Product Safety, System, and Certification (GPSSC) organization. This full-time position involves providing technical leadership in the end-to-end development lifecycle for artificial intelligence and machine learning (AI/ML) systems, staying current on industry best practices and standards like ISO 8800 and ISO 21448 to guide GM’s AI safety strategy, and using programming and statistical techniques to solve complex problems. Responsibilities include developing strategies for safe AI/ML and autonomous system development, deployment, and maintenance; ensuring safe training of new ML models; maintaining safety in enhancements to existing models; setting standards for prototyping, testing, and deploying new AI solutions (including Generative AI); validating data sets and assurance plans; breaking down operational design domains and behaviors for validation; establishing safety launch targets; and setting up assurance processes. Requirements include a Bachelor's degree in Computer Science, Data Science, Human Factors, Machine Learning, Engineering, Mathematics, Physics, or related field; 7+ years of experience in machine learning, engineering, data science, or related; extensive experience in Machine Learning & AI Safety (ISO 8800, ISO 21448, AV/aerospace/robotics standards), validation of AI-driven autonomous systems, programming (Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL), ML/AI techniques (LLMs, Generative AI, RAG, Deep Learning, Reinforcement Learning, NLP, SVM, XGBoost, etc.), cloud/big data platforms (Azure preferred, AWS/GCP nice-to-have), deployment/MLOps (MLflow, Docker, Kubernetes, GitHub, Jira), and data analysis/visualization (Tableau, PowerBI, Pandas, NumPy). Preferred: Master's degree and 10+ years experience, expertise in NLP/LLM/Generative AI solutions from problem statement to deployment, and team leadership in data science.