AI Systems Engineer - Test & Validation

General Motors • Warren, MI

35d • Onsite

About The Position

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. We are seeking an AI Systems Engineer - Test & Validation to join our Manufacturing Technology Development team within the General Motors Research and Development organization. In this role, you will develop innovative test frameworks for robotics, including hardware-in-the-loop (HIL), simulation-driven validation, and continuous safety monitoring. You will define new performance metrics for intelligent collaborative robots such as adaptability, robustness, and trustworthiness. You will work with Robotics Intelligence to validate early prototypes and with AI & Simulation to benchmark AI models before deployment.

Requirements

• 3+ years of experience in robotics testing and validation.
• Strong background in HIL testing and simulation environments.
• Proficiency in programming languages such as Python and/or C++.
• Experience with safety monitoring and performance benchmarking.
• Bachelor's degree in Robotics, Computer Engineering, or related field.
• Excellent analytical and documentation skills.

Nice To Haves

• 5+ years of experience in robotics testing and validation.
• Master's degree or PhD in Engineering, Robotics, or related field.
• Experience with intelligent collaborative robots and performance metrics.
• Track record of innovation in test frameworks.
• Knowledge of safety and compliance standards.

Responsibilities

• Develop test frameworks including HIL and simulation-driven validation.
• Define performance metrics for intelligent robotic systems.
• Implement continuous safety monitoring strategies.
• Validate early prototypes with Robotics Intelligence.
• Benchmark AI models with AI & Simulation teams.
• Ensure reliability and robustness of deployed systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Transportation Equipment Manufacturing
• Number of Employees: 5,001-10,000 employees