Magna International
Robotics Task and Motion Planning Intern – Summer 2024
Job Description
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Job Number: 64215
Group: Magna Corporate
Division: Magna Services of America (Troy Office)
Job Type: Intern/Co-op
Location: TROY
Work Style:
About us
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.
Forward. For all.
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.
About the Role
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 in perception and dexterity. The candidate will design, develop and evaluate Task and Motion Planning algorithms for Articulated Manipulator Robots. The candidate will get a chance to work under the guidance of a Robotics Software Technical Specialist. Magna’s Student Program provides students the opportunity to gain practical work experience in their area of study related to the automotive industry.
Your Responsibilities
• Review, Evaluate and Benchmark the performance of Motion Planning algorithms for Articulated Robot Manipulators.
• Implement the Motion Planning and Task Planning algorithms in C++ in ROS 2 environment.
• Create representative case study to understand solution capabilities and limitations.
• Create, modify, and implement the software packages to a practical application.
• Develop evaluation criteria to test and evaluate the effectiveness of the systems.
• Present technical results and provide recommendations based on the case study.
Who we are looking for
• Prior experience or skilled in implementing Motion Planning algorithms using OMPL and Move It 2
• Excellent coding and scripting abilities in C++, Python and ROS 2.
• Prior experience in working with ROS 2 and Robotic Manipulators in simulation or on a real-world Robot.
• Prior experience in AI, FSM, Behavior trees, and Task planning frameworks.
• Good understanding of Forward/Inverse Kinematics, Robot Dynamics and experience in Algorithm development.
• Good understanding of Robotics fundamentals.
• Curious, Problem Solver, Team Player and ability to thrive in collaborative, small team environment.
Your preferred qualifications
• Current Graduate student preferably in a MS or PhD program focused on Robotics, Motion Planning, Controls and Task Planning for manipulator robots.
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.
Site Benefits
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 to comply with GDPR requirements and your local Data Privacy Law.
