AI Robotics Intern- Summer 2026

Magna International • Novi, MI

8h

About The Position

At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are. Magna is more than one of the world’s largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape. Position Overview We’re looking for a graduate intern to help build Physical AI systems—AI that perceives, reasons, and acts in the real world (or high-fidelity simulation). You’ll work with a small team to prototype, train, and evaluate models for robotics tasks like manipulation, navigation, perception, motion planning, and sim-to-real transfer—and deliver working demos and measurable improvements. Location: Windsor, Ontario or Detroit, Michigan (Travel to Windsor needed)

Requirements

• Hands-on experience with Robotics or Deep-Learning with Pytorch
• Bachelor’s in Electrical, Mechanical or Industrial Engineering Education / Experience
• Currently pursuing MS or PhD in EE, Computer Science, Robotics, ISE or related field.
• Strong programming skills in C/C++, AWS, CUDA programming

Responsibilities

• Research latest tools and mechanisms for Physical AI development
• Build and iterate on robot learning pipelines for embodied tasks (e.g., grasping, navigation, manipulation) in Pytorch.
• Work in robotics simulation (e.g., Isaac Sim/Isaac Lab, MuJoCo, Gazebo) and help improve sim fidelity / physics / domain randomization.
• Implement components in Go and/or C/C++, with attention to performance (parallelism, memory, throughput).
• Evaluate systems on real or representative platforms (robot arms / AMRs / legged robots / sensors) and present results to the team.
• Collaborate cross-functionally (software, ML, controls, hardware) to deliver a prototype that works end-to-end.

What This Job Offers

• Career Level: Intern
• Number of Employees: 5,001-10,000 employees