Robotics Systems Engineering Manager

Group Manager, AI Systems Engineering

We are seeking a Group Manager, AI Systems Engineering to join our Manufacturing Technology Development team within the General Motors Research and Development organization. In this role, you will manage a team working to integrate, test, and optimize AI robotic technologies. This includes aspects of data acquisition, compute resource management, model training, simulation, and curating digital assets. You will direct infrastructure innovation, ensuring novel robotics and AI technologies scale securely, efficiently, and reliably into system-level prototypes. This role involves a combination of management skills, artificial intelligence, and data engineering applied to real-world scenarios in dynamic manufacturing environments. Joining our team will provide you with the opportunity to work on cutting-edge technologies, contribute to innovation, and collaborate with a diverse team of experts. You will play a key role in advancing our automation capabilities and ensuring that our electronic systems are at the forefront of industry.

What You Will Do

• Lead and grow a multidisciplinary team of AI systems engineers focused on integrating, testing, and optimizing robotic AI technologies across hardware and software domains.
• Drive the development and deployment of scalable infrastructure for data acquisition, GPU-based training pipelines, simulation environments, and digital asset curation.
• Oversee system-level prototyping efforts, ensuring that novel AI and robotics technologies are securely and reliably integrated into real-world manufacturing environments.
• Collaborate cross-functionally with research scientists, software engineers, mechanical designers, and manufacturing experts to align AI systems engineering with broader automation goals.
• Establish and enforce best practices for data engineering, model training, and simulation workflows to ensure high performance, reproducibility, and robustness.
• Identify and mitigate technical risks related to AI system integration, including latency, scalability, and reliability in dynamic production settings.
• Develop talent of highly specialized team members to extend their competence beyond initial subject matter knowledge to learn from and support their team.
• Champion innovation and continuous improvement, fostering a culture of experimentation and learning within the teams and across Autonomousmous Robot Center.
• Communicate technical strategy and progress to executive leadership, translating complex engineering challenges into actionable insights and roadmaps.

Your Skills & Abilities (Required Qualifications)

• 10+ years of professional experience. Exposure to leading high-performing engineering teams, ideally in AI systems, robotics, or embedded systems domains is preferred.
• Proven track record in developing and deploying AI/ML solutions for robotics, including system integration and real-world implementation.
• Strong technical background in artificial intelligence, machine learning, or data engineering, with hands-on experience in system integration and deployment.
• Deep understanding of AI infrastructure, including data pipelines, GPU-based training, simulation environments, and digital asset management.
• Experience with real-time systems and deploying AI technologies in dynamic, real-world environments such as manufacturing, robotics, or autonomous systems.
• Track record of delivering complex, cross-functional projects, balancing innovation with operational excellence.
• Excellent communication and collaboration skills, with the ability to work across disciplines and present technical concepts to executive stakeholders.
• Strong problem-solving mindset, with the ability to anticipate technical challenges and guide teams through ambiguity.
• Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field.

What Will Give You A Competitive Edge (Preferred Qualifications)

• Advanced degree (PhD) in AI, Robotics, Computer Engineering, or a related technical field with a focus on systems integration or autonomous technologies.
• Experience in autonomous robotics, including simulation, perception, and real-time decision-making systems.
• Hands-on expertise with simulation platforms including Isaac Sim/Lab, MoveIt, interoperation with ROS for robotics and AI training and validation.
• Familiarity with edge computing and embedded AI, especially in constrained or latency-sensitive environments.
• Track record of innovation, including patents, publications, or contributions to open-source AI or robotics projects.
• Experience scaling AI systems prototype to production in industrial or manufacturing settings.
• Strong understanding of cybersecurity and safety standards relevant to AI-enabled robotic systems.
• Demonstrated ability to mentor senior engineers, foster technical leadership, and build inclusive, high-impact teams.