Note: The job is a remote job and is open to candidates in USA. General Motors is committed to delivering trusted automated driving products through its SAFE-ADS department. As the Sr Manager of AV Behavior Safety Engineering, you will lead the strategy and execution for the safety of SAE Level 3-4 Automated Driving Systems, collaborating with various teams to define and validate safety performance indicators.

Responsibilities

• Reference and interpret standards such as ISO 21448 (SOTIF), ISO 5083, and AVSC best practices to define GM’s strategy for safe autonomous system development, validation and deployment
• Own the behavior-focused portion of the ADS Safety Case, including key claims, sufficiency criteria, and recommended evidence for AV behavior safety performance
• Collaborate with Software Validation, Embodied AI, Simulation, and Safety Metrics teams to define the end-to-end AV behavior validation methodology for AI-driven systems
• Set the strategy for how we systematically break down ODDs and how performance is validated per behavior and in aggregate
• Collaborate on evaluation metrics, human benchmarks, and safety launch targets for AV behaviors and overall system performance. This includes supporting development of safety performance indicators (SPIs) for AV behaviors
• Assess AV performance across safety and reliability dimensions using simulation, closed-course, and public-road data and provide clear, prioritized feedback to engineering teams
• Define and run an assurance process to verify the sufficiency criteria and safety targets to support launch readiness
• Hire, lead, and develop a high-performing AV behavior safety engineering team
• Set clear goals and expectations, provide coaching and mentorship, and grow the team’s technical depth in AV behavior safety, validation, and safety case development

Skills

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
• 8+ years of experience in machine learning, engineering, data science, or a related field
• 8+ years in autonomous vehicle or robotics development or related field
• Demonstrated experience working on production-intent AV programs
• Track record providing technical safety leadership in AV development (e.g., defining safety strategies, risk assessments, validation methodologies, safety case contributions)
• Deep understanding of AV behavior development: defining ODDs, behaviors, and evaluation criteria; analyzing simulation, closed-course, and public-road test data; and generating prioritized, actionable recommendations for developers
• Experience applying AV safety standards and best practices, such as ISO 5083, ISO 21448 (SOTIF), and AVSC practices
• Excellent communication and storytelling skills, including the ability to explain complex technical tradeoffs to executives and non-technical stakeholders
• Proven ability to influence cross-functional teams (Software, AI/ML, Systems Engineering, Product, Program Management, Operations) without direct authority
• Strong problem-solving mindset, comfort with ambiguity, and a proactive attitude toward learning and continuous improvement
• 3+ years of people leadership experience, including hiring, leading, and growing high-performing technical teams
• Masters Degree in Computer Science, Engineering, Mathematics or related field
• 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

Benefits

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
• 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.
• 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.
• Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
• This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager.
• The selected candidate will be required to travel

Company Overview