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
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.
Essential Duties and 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 a 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.
Qualifications:
- Prior experience or skill 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 a collaborative, small team environment.
Education / Experience
- Current Graduate student preferably in a MS or PhD program focused on Robotics, Motion Planning, Controls, and Task Planning for manipulator robots.
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.
Worker Type:
Student / Co-Op
Group:
Magna Corporate
