General Motors

Requirements

• Deep experience across the full end-to-end development lifecycle of an automated driving system (ADS) technology driven by artificial intelligence and machine learning models.
• Strong AI domain expertise across safety engineering, data lifecycle management, model development, verification and validation, frameworks and tools, and operational assurance.
• Ability to stay current on industry best practices and standards while guiding the development of GM's AI safety strategy for autonomous vehicles (AV).
• Experience driving the technology development and validation of AI models for safety-critical applications.
• Ability to engage deeply with stakeholders to understand their challenges and needs, collaborate on new AI/ML solutions, and evaluate the safety of models and cloud environments to support safety-critical applications.

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus

Skills