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Sr Manager, AV Behavior Safety Engineering

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General Motors

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

250600.00 - 384600.00 USD / Year
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Job Description:

The Safety Assurance for Effective Autonomous Driving Software (SAFE‑ADS) department is part of GM’s Global Product Safety, System, and Certification (GPSSC) organization. Our mission is to help GM deliver trusted automated‑driving products. As the central authority for automated driving system (ADS) safety, SAFE‑ADS brings together experts from across the company to develop and maintain a comprehensive safety case including safety performance indicators for GM’s automated‑driving technologies. GM’s vision is zero crashes, zero emissions, and zero congestion—and autonomous vehicle safety is essential to achieving that vision.

Job Responsibility:

  • Lead the strategy and support execution for how GM defines, measures, and validates the safety of SAE Level 3 – 4 Automated Driving Systems powered by machine‑learned models
  • Report into the AV Safety Strategy and Assurance organization and directly influence launch decisions for GM’s next generation of automated driving products
  • Lead Technically: 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
  • Lead People: 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.

Requirements:

  • 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.

Nice to have:

  • 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
What we offer:
  • 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
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance
  • 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.

Additional Information:

Job Posted:
March 25, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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