AI Robotics Intern- Summer 2026

Magna International • Novi, MI

1d

About The Position

What we offer: 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. Group Summary: 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. Job Responsibilities: 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