Description
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. The Role We are seeking a Senior Engineer, AI Systems Engineering - Integration to join our Manufacturing Technology Development team within the General Motors Research and Development organization. In this role, you will lead system-level integration of new technologies, validating novel AI and robotics algorithms in full-stack collaborative robot prototypes. You will develop frameworks for iterative assembly and testing, ensuring innovations can be evaluated in realistic workflows. You will serve as the convergence point where Robotics Intelligence breakthroughs and AI & Simulation models are combined into functional prototypes. What You Will Do Lead integration of AI, perception, and robotics software into full-stack prototype systems. Develop and maintain frameworks for iterative build, test, and validation cycles. Ensure innovations are evaluated under realistic, production-relevant workflows. Collaborate closely with Robotics Intelligence, AI & Simulation, Controls, and Hardware teams. Manage system-level prototype bring-up, debugging, and performance validation. Define integration best practices, documentation standards, and reproducible processes. Support end-to-end readiness for internal demonstrations and technology down-selection. Your Skills & Abilities (Required Qualifications) 3+ years of experience in robotics software or systems integration. Strong background in AI model deployment, ROS/ROS2, and hardware-software integration. Experience working with collaborative robots, sensors, and real-world task workflows. Bachelor’s degree in Robotics, Computer Engineering, Electrical Engineering, or related field. Excellent system-level debugging, communication, and cross-functional collaboration skills. What Will Give You A Competitive Edge (Preferred Qualifications) 5+ years of experience in robotics software or systems integration. Master’s or PhD in Robotics, Computer Science, or a related discipline. Hands-on experience with simulation platforms (e.g., Gazebo, Isaac Sim) and HIL/SIL testing. Demonstrated success integrating and deploying prototype robotic systems. Understanding of industrial safety, compliance standards, and risk-mitigation practices. #GMrobotics-S
This role is categorized as onsite. This means the selected candidate is expected to report to a specific location on a full-time basis.
The selected candidate will be required to travel
