Principal AV Behavior and AI Safety Engineer – Technical Lead

October 11

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General Motors

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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.

10,000+ employees

Founded 1908

🚗 Transport

⚡ Energy

🏢 Enterprise

💰 $500M Grant on 2024-07

📋 Description

• Referencing ISO 8800, ISO 21448 and AV industry best practices, develop the strategy for ensuring safe AI/ML and autonomous system development, deployment and maintenance. • Work with software, data science and systems engineering teams to ensure GM safely trains new machine learning models to enable autonomous systems. • Ensure continuity of safety as we enhance existing machine learning models to increase performance. • Set the safety standard for how we prototype, test and deploy new AI solutions, including Generative AI • Set the strategy for testing and validation of data sets and develop an assurance plan. • Set the strategy for how we systematically break down operational design domain components and driving behavior components and how these are validated in aggregate and on a per behavior level. • Work with data science, systems engineering and software teams to set the strategy for how we establish safety launch targets across vehicle behaviors and in aggregate. • Setup an assurance process to validate launch targets have been achieved.

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field • 7+ years of experience in machine learning, engineering, data science, or a related field • 7+ years in autonomous vehicle or robotics development or related field • Extensive Experience in Machine Learning & AI Safety: ISO 8800, ISO 21448 and other applicable industry standards and best practices for autonomous vehicles, aerospace and/or robotics. • Validation of AI Driven Autonomous Systems: Setting the strategy for E2E validation using techniques appropriate to validate AI models • Programming & Frameworks : Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL • Machine Learning & AI : Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering • 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 • Proven track record providing technical safety leadership in AI/ML and AV development • 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.