General Motors is seeking a Principal AI Safety Engineer for Autonomous Vehicles to lead AI safety strategies within their SAFE-ADS department. The role requires extensive experience in AI and machine learning, particularly in safety-critical applications for autonomous driving technologies
Job Summary
The mission is to help GM deliver trustworthy automated-driving products through a comprehensive safety case.
This role requires guiding the development of GM's AI safety strategy while ensuring safe deployment of AI-enabled technologies.
Candidates are eligible for a company vehicle evaluation program where they will drive and evaluate General Motors vehicles.
Matching Summary
Match Score: 85
General Motors is seeking a Principal AI Safety Engineer for Autonomous Vehicles to lead AI safety strategies within their SAFE-ADS department. The role requires extensive experience in AI and machine learning, particularly in safety-critical applications for autonomous driving technologies.
Salary
Base: $250,600 - $384,600; Bonus: Incentive pay based on performance; Benefits: Medical, dental, vision, retirement, tuition assistance, vehicle discounts
Skills & Requirements
Must-have
10+ years AI/ML engineering experience
5+ years autonomous vehicle experience
ISO/PAS 8800 safety standards knowledge
End-to-end model validation expertise
Python PyTorch TensorFlow programming
Nice-to-have
Master's or Ph.D. in Computer Science
Experience with Large Language Models deployment
Generative AI production solutions
Microsoft Azure cloud platform expertise
Published research in AI safety
Key Requirements
Bachelor's degree in CS, EE, Math, Physics or equivalent
10+ years experience in AI/ML engineering
5+ years experience in autonomous vehicles or robotics
U.S. Person status required (citizen, PR, asylee, or refugee)
Work Rights
Must be a U.S. Person (citizen, permanent resident, asylee, or refugee)