Principal Ai Safety Engineer For Autonomous Vehicles: Technical Lead (gpssc)

gmoshawa.ca

$250,600 - $384,600; bonus potential: based on com...
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Ai safety strategy development
Ai/ml model development and validation
Safety assurance for automated driving systems
** GM is seeking a Principal AI Safety Engineer for Autonomous Vehicles to lead safety strategies in automated driving systems. This fully remote role emphasizes the development and validation of AI safety models and aims to foster a culture of innovation and technical excellence. **

Job Summary

  • Our mission is to help GM deliver trustworthy automated-driving products by developing and maintaining a comprehensive safety case for automated-driving technologies.
  • As the AI Safety Principal Engineer for AV, you will work closely with cross-functional partners and customers to define safety strategies and sufficiency criteria for AI/ML-based ADS features.
  • GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, retirement savings plan, and more.

Matching Summary

Match Score: 75

** GM is seeking a Principal AI Safety Engineer for Autonomous Vehicles to lead safety strategies in automated driving systems. This fully remote role emphasizes the development and validation of AI safety models and aims to foster a culture of innovation and technical excellence. **

Salary

$250,600 - $384,600; Bonus Potential: Based on company, job level, and individual performance; Benefits: Health and wellbeing benefit programs

Skills & Requirements

Must-have

  • AI safety strategy development
  • AI/ML model development and validation
  • Safety assurance for automated driving systems
  • Industry standards like ISO/PAS 8800
  • Technical leadership in AI safety

Nice-to-have

  • External engagement on evolving standards
  • Mentoring and developing team members
  • Driving efficiency through AI methodologies
  • Thought leadership in autonomous vehicle ecosystem

Key Requirements

  • Bachelor's degree or equivalent practical experience
  • 10+ years of experience in AI/ML
  • 5+ years in autonomous vehicles or robotics
  • Experience with Machine Learning & AI
  • Understanding of AI Standards and Evolving Regulations
  • Proficiency in Python, R, Java, PySpark
  • Experience with PyTorch, TensorFlow, Scikit-learn
  • Experience with Cloud & Big Data Platforms
  • Experience with Deployment & MLOps
  • Experience with Data Analysis & Visualization
  • Proven track record providing technical safety and validation leadership

Work Rights

Must be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee)

Tailored Resume

Cover Letter