Support development of humanoid robot behaviors for industrial automation tasks
Build safe navigation systems and perception for dynamic environments
Implement manipulation capabilities for grasping and object placement
Design task planning, failure recovery, and end-to-end autonomy integration
What they're looking for
MS student in Robotics program
Python, ROS 2, C++ programming skills
Experience with robotics simulation tools, preferably Isaac Sim
Humanoid robot or Physical AI systems experience preferred
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.
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
This is a research intern position within the Advanced Robotics team in the Corporate Engineering and R&D department. The Advanced Robotics team is focused on developing novel technologies that give robots human-like capabilities. The candidate will support the development of humanoid robot behaviors for industrial automation tasks. The candidate will get a chance to connect perception, planning, and control so the robot can move, act, and respond safely in changing environments.
Essential Duties and Responsibilities
Understand humanoid robot behavior and system constraints
Build safe, reliable navigation in dynamic spaces
Develop perception for objects, scene state, and localization
Implement robust manipulation for grasping and placement
Design high-level task planning and failure recovery
Validate capabilities in simulation before deployment
Integrate all modules into one end-to-end autonomy stack
Apply Physical AI methods to improve real-world robot behavior
Qualifications
Prior experience with humanoid robots preferred
Hands-on experience with UR arms, bimanual manipulation setups, or Physical AI systems
Strong programming skills in Python, ROS 2, and C++
Experience with robotics simulation tools, preferably Isaac Sim
Good understanding of Robotics fundamentals, AI/ML and RL
Curious, Team Player and ability to thrive in a collaborative, small team environment
Education / Experience
Student in a MS program focused on Robotics
Physical Demands / Work Environment
Normal amount of sitting or standing, average mobility to move around an office (Troy, MI) environment, able to conduct a normal amount of work at a computer.
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.
AI-Assisted Screening Disclosure
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. Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making. 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
We see a future where everyone can live and move without limitations. That's why we are developing technologies, systems and concepts that make vehicles safer and cleaner, while serving our communities, the planet and, above all, people. In the right environment, your ideas can turn into industry-changing automotive technologies and improve the lives of people around the world. Let's create the future of mobility, together.
From Magna's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.
