Robotic Control Intern- Summer 2026 job opportunity at Magna International Inc..



DateMore Than 30 Days Ago bot
Magna International Inc. Robotic Control Intern- Summer 2026
Experience: Highly Experienced
Pattern: full-time
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loacation Troy, Michigan, US, United States Of America
loacation Troy, Michigan..........United States Of America

Job descriptions may display in multiple languages   based on your language selection. 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: This is a research internship position within the Advanced Robotics team in the Corporate Engineering and R&D department. The team focuses on developing innovative technologies that enable robots with human-like perception and dexterity. The candidate will design and develop simulation pipelines for robot controller design and will have the opportunity to work under the guidance of a Motion Planning & Controls Technical Specialist. The Magna Student Program provides students with practical work experience related to the automotive industry. Essential Duties and Responsibilities: Develop a ROS 2-based robotic simulation pipeline for controller design. Create case studies to understand system capabilities and limitations. Develop, modify, and implement software packages for practical applications. Create evaluation criteria to test and assess system effectiveness. Support robotic controller testing on real robots. Present technical results and provide recommendations based on case studies. Qualifications: Understanding of control theory and implementation of control algorithms for robotic manipulation tasks. Prior experience with ROS 2, including control messages and plugins. Knowledge of collision physics and dynamics for contact-rich manipulation. Ability to use physics models for contact-based manipulation tasks. Proficiency in coding and scripting in Python, C++, and ROS 2. Experience with simulation tools such as Webots, Mujoco, Drake, CopelliaSim, NVIDIA Isaac Sim, Gazebo. Strong understanding of robotics fundamentals. Curious, collaborative team player with the ability to thrive in a small team environment. Education/Experience: Currently enrolled in a graduate program (Master’s or PhD), preferably focusing on Robotics, Controls, or Motion Planning for manipulators. Physical Demands/Work Environment: Ability to sit or stand comfortably for extended periods in an office environment (e.g., Holly, MI). Able to conduct work on a computer with normal movement and mobility. Awareness, Unity, Empowerment: At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law. Notice regarding the use of AI: As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies. If you have any questions or concerns about this process, feel free to contact our Talent Attraction team. Worker Type: Student / Co-Op Group: Magna Corporate

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