Principal AI Safety Engineer – Technical Lead, Autonomous Vehicles

🕒 Março 23

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $250.600 - $384.600 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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General Motors

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1908

🚗 Transporte

⚡ Energia

🏢 Corporativo

💰 $500.000.000 Grant em 2024-07

Transport • Energy • Enterprise

A visão da General Motors é criar um mundo com Zero Acidentes, Zero Emissões e Zero Congestionamentos, e estamos comprometidos em liderar o caminho rumo a esse futuro. Hoje, estamos no meio de uma revolução no transporte e temos a ambição, o talento e a tecnologia para concretizar o mundo mais seguro, melhor e mais sustentável que desejamos. Como uma empresa aberta e inclusiva, também estamos criando um ambiente em que todos se sintam acolhidos e valorizados por quem são. Um único time, no qual todas as ideias são consideradas e ouvidas, onde todos podem contribuir ao máximo de seu potencial, com uma cultura baseada em respeito, integridade, responsabilidade e igualdade. Nossa equipe reúne perspectivas e experiências diversas para solucionar os complexos desafios de transporte de hoje e de amanhã.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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.