Senior Staff AV Behavior Safety Engineer

General Motors (GM)

Confirmed live yesterday Trusted
Remote

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Work type
Remote
Location
Remote
Posted
172 days ago
Freshness
Confirmed live yesterday

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Similar $190k
$142k most similar roles pay here $239k

This listing doesn't post a salary. Most similar roles pay $162,743–$217,500.

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 Staff AV Behavior Safety Engineer

Sr Staff AV Behavior Safety Engineer The Sr Staff AV Behavior Safety Engineer joins the Safety Assurance for Effective Autonomous Driving Software team to lead strategy and execution for defining, measuring, and validating SAE Level 3–4 Automated Driving Systems powered by machine-learned models. This role involves owning the behavior-focused portion of the ADS Safety Case, interpreting standards like ISO 21448 (SOTIF) and ISO 5083, and collaborating with cross-functional teams to develop validation methodologies for AI-driven systems. The engineer will evaluate performance across safety and reliability dimensions using simulation, closed-course, and public-road data. Key technical requirements include experience in machine learning, data science, and robotics development. Preferred skills include Python, PyTorch, TensorFlow, Scikit-learn, and SQL, alongside familiarity with LLMs, Generative AI, and MLOps tools like Docker and Kubernetes to ensure the safety of autonomous vehicle behaviors.

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 simulation, software, and safety metrics teams.
  • Establish strategies for systematically breaking down Operational Design Domains (ODDs) and validating performance across specific 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.
  • Execute an assurance process to verify sufficiency criteria and safety targets to support product launch readiness.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
  • 6+ years of experience in machine learning, engineering, data science, or a related field.
  • 6+ years of experience in autonomous vehicle or robotics development or a related field.
  • 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 defining ODDs and analyzing simulation, closed-course, and public-road data.
  • Experience applying AV safety standards such as ISO 21448 (SOTIF), ISO 5083, and AVSC best practices.
  • Excellent communication skills to explain complex technical tradeoffs to both executive and non-technical stakeholders.

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