Principal Staff Artificial Intelligence Engineer - Simulation and Testing

Employment Type: Full-time

Position Overview

As a Principal Staff Artificial Intelligence Engineer within the Simulation and Testing organization, you will play a critical role in leading the strategy and execution of simulation-based validation efforts for autonomous vehicle development. Your expertise will guide a team of engineers in defining best practices and driving innovation in testing and verifying the safety and performance of autonomous systems in complex simulated environments. You will be responsible for shaping the future of our simulation capabilities and ensuring robust validation methods are implemented effectively.

Remote: This role is based remotely. However, if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum.

About the Organization

The Simulation and Testing team is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies. We focus on creating realistic and challenging test scenarios that enable comprehensive evaluation of autonomous systems. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicle testing.

Responsibilities

• Lead the design, development, and implementation of simulation-based validation strategies for autonomous systems, ensuring safety and performance metrics are met.
• Guide and mentor a team of engineers, fostering a culture of innovation and excellence in simulation methodologies.
• Define and implement robust validation methods and sophisticated evaluation strategies within simulation frameworks, including the creation of challenging test scenarios and analysis of results at scale.
• Collaborate cross-functionally with teams involved in autonomous system development to ensure seamless integration of simulation testing into the overall development process.
• Influence technical roadmaps and strategic priorities, aligning simulation efforts with company objectives and product milestones.

Required Qualifications

• Master's Degree in Robotics, Computer Science, Engineering, or a related technical field.
• 10 years of extensive experience in simulation and testing, preferably within the autonomous vehicle domain.
• Proven track record in developing or testing large-scale Machine Learning (ML) systems, with a strong understanding of simulation platforms and methodologies.
• Hands-on expertise in implementing robust validation methods and evaluation strategies, including defining relevant metrics and correlating simulation performance with real-world behavior.
• Strong software engineering skills, particularly in programming languages relevant to simulation and testing.
• Excellent communication, collaboration, and mentoring abilities, with a passion for driving innovation in autonomous technology.

Preferred Qualifications

• Ph.D. Degree in Robotics, Computer Science, Engineering, or a related technical field.
• 15 years of extensive experience in simulation and testing, preferably within the autonomous vehicle domain.

Compensation & Benefits

• Salary Range: $225,000 - $344,800. The actual base salary offered will vary based on factors relevant to the position. (Note: This is a good faith estimate and may not be representative for positions outside of the California Bay Area.)
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
• Benefits: GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, Health Savings Account, and Flexible Spending Accounts.