Senior Manager, AV Behavior Safety Engineering

General Motors (GM)

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Remote

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Remote
Location
Remote
Posted
172 days ago
Freshness
Confirmed live yesterday

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Similar $191k
$140k most similar roles pay here $245k

This listing doesn't post a salary. Most similar roles pay $161,146–$221,025.

Based on 240 similar postings.

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About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 116 open roles on FindRole.

Listed pay typically runs $160,200–$245,000 across 59 roles with salary data.

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TL;DR · Senior Manager, AV Behavior Safety Engineering

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Sr Manager, AV Behavior Safety Engineering (GPSSC) leads the strategy and execution for defining, measuring, and validating the safety of SAE Level 3–4 Automated Driving Systems powered by machine-learned models. Working within the AV Safety Strategy and Assurance organization, this role involves managing the behavior-focused portion of the ADS Safety Case, including sufficiency criteria and performance indicators. The manager will oversee the end-to-end development lifecycle from ODD definition through simulation, closed-course, and public-road validation. Key responsibilities include interpreting standards like ISO 21448 (SOTIF) and ISO 5083 while leading a high-performing engineering team. Required expertise includes machine learning, data science, and robotics development. Preferred technical skills include Python, PyTorch, TensorFlow, and experience with LLMs or Generative AI to solve complex safety challenges in the autonomous vehicle domain.

Skills

ISO 21448 ISO 5083 AVSC Python R Java PySpark PyTorch TensorFlow Scikit-learn LangChain SQL LLMs Generative AI RAG Deep Learning Reinforcement Learning NLP SVM XGBoost Random Forest Decision Trees Clustering Microsoft Azure Databricks AWS S3 SageMaker Bedrock Google Cloud Platform BigQuery Dataflow MLflow Docker Kubernetes GitHub Jira Tableau PowerBI Pandas NumPy

What you'll do

  • Interpret safety standards like ISO 21448 and AVSC best practices to define strategies for autonomous system development and deployment.
  • Own the behavior-focused portion of the ADS Safety Case, including key claims, sufficiency criteria, and evidence requirements.
  • Define end-to-end validation methodologies for AI-driven systems in collaboration with software, simulation, and safety metrics teams.
  • Establish strategies for systematically breaking down Operational Design Domains (ODDs) and validating performance across various behaviors.
  • Develop safety performance indicators (SPIs), human benchmarks, and safety launch targets for autonomous vehicle behaviors.
  • Analyze simulation, closed-course, and public-road data to provide prioritized feedback to engineering teams on safety and reliability.
  • Manage an assurance process to verify sufficiency criteria and safety targets to support product launch readiness.
  • Lead, hire, and mentor a high-performing team of AV behavior safety engineers to grow their technical depth.

What we're looking for

  • 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 of experience in autonomous vehicle or robotics development or related fields.
  • Experience working on production-intent autonomous vehicle programs.
  • Track record providing technical safety leadership in AV development including risk assessments and validation methodologies.
  • Deep understanding of AV behavior development, including ODD definition and analysis of simulation and road test data.
  • Experience applying AV safety standards such as ISO 5083, ISO 21448 (SOTIF), and AVSC practices.
  • 3+ years of people leadership experience, including hiring and developing high-performing technical teams.
  • Must be a U.S. Person (U.S. citizen, permanent resident, asylee, or refugee) due to export control restrictions.

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