Principal AI Safety Engineer for Autonomous Vehicles: Technical Lead (GPSSC)

About the Role

The Principal AI Safety Engineer will be part of the Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department, which is responsible for developing and maintaining a comprehensive safety case for General Motors' automated driving system (ADS) technology. The goal is to deliver trustworthy automated-driving products that align with the company's vision of zero crashes, zero emissions, and zero congestion.

The ideal candidate will have deep experience across the full end-to-end development lifecycle of automated driving system (ADS) technology driven by artificial intelligence and machine learning models. They will be responsible for staying current on industry best practices and standards, guiding the development of General Motors' AI safety strategy, and providing safety guidance to a team of AI/ML developers and system engineers.

What You Will Do

• Lead the development of AI safety strategies for ADS and establish safety engineering guidance and sufficiency criteria
• Actively engage with partners and seek input, provide technical expertise to inform leadership decision-making, and take ownership of technical projects
• Define General Motors' strategy for AI safety standards, engage externally to influence evolving standards, and contribute to internal and external thought leadership
• Support regulatory rulemaking and policy responses related to AI safety-critical systems
• Establish an assurance plan and process to evaluate AI-related safety case evidence and verify that sufficiency criteria are met
• Provide AI expertise and safety guidance across Global Product Safety, Systems, and Certification activities
• Identify and drive opportunities to improve the efficiency and quality of safety work through the application of AI methodologies
• Mentor and develop team members, fostering a culture of technical excellence and continuous learning
• Collaborate with cross-functional partners to develop and maintain a comprehensive safety case for General Motors' automated driving system (ADS) technology
• Engage with stakeholders to understand their challenges and needs, and collaborate on new AI/ML solutions

What We Are Looking For

• Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience
• 10+ years of experience in AI/ML, engineering, or a related field
• 5+ years of experience in autonomous vehicles, robotics, or a related field
• Experience with machine learning and AI, including data lifecycle management, model development, verification, and validation
• Strong AI domain expertise across safety engineering, frameworks, and tools, and operational assurance
• Experience with industry standards such as ISO/PAS 8800
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional partners and stakeholders
• Strong technical leadership skills, with the ability to mentor and develop team members
• Experience with Excel and other data analysis tools

Nice to Have

• Experience with cloud-based environments and safety-critical applications
• Knowledge of regulatory requirements and industry standards for autonomous vehicles
• Experience with agile development methodologies and version control systems
• Familiarity with General Motors' AI safety case framework and safety engineering guidance

Benefits and Perks

• Competitive salary and benefits package
• Opportunity to work on cutting-edge autonomous vehicle technology
• Collaborative and dynamic work environment with a team of experienced professionals
• Flexible and remote work options
• Professional development opportunities, including training and education programs
• Access to state-of-the-art tools and technologies
• Recognition and reward programs for outstanding performance
• Comprehensive health and wellness programs
• Generous paid time off and vacation policy

• Highlight your AI safety expertise: Emphasize your experience with AI safety engineering, data lifecycle management, and model development, verification, and validation.
• Showcase your industry knowledge: Demonstrate your understanding of industry standards such as ISO/PAS 8800 and regulatory requirements for autonomous vehicles.
• Prepare to discuss your technical leadership experience: Be ready to provide examples of your technical leadership skills, including mentoring and developing team members.
• Familiarize yourself with General Motors' AI safety case framework: Review the company's safety engineering guidance and be prepared to discuss how you can contribute to the development of their AI safety strategy.
• Be prepared to discuss your experience with cloud-based environments and safety-critical applications: Highlight your experience with cloud-based environments and safety-critical applications, and be prepared to discuss how you can apply this experience to the role.
• Research the company culture: Learn about General Motors' company culture and values, and be prepared to discuss how you can contribute to a collaborative and dynamic work environment.
• Practice your communication skills: Prepare to discuss complex technical topics in a clear and concise manner, and be ready to provide examples of your excellent communication and collaboration skills.