Co-op student will support Magna's Advanced Robotics Group by developing and validating robotic test solutions and lab operations. Responsibilities include designing experiments, implementing test systems, executing test plans, collecting and analyzing data, collaborating with cross-functional teams, and contributing to hardware/software specifications for vision, motion planning, tactile perception, and sensor fusion projects in an on-site robotics lab.
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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
Magna Corporate R&D in Toronto is seeking a talented, visionary, and self-motivated Robotics Engineering Co-op student to join the Advanced Robotics Group for a 12-16-month term (PEY).
As part of Magna Corporate R&D's Advanced Manufacturing Department, the Robotics Group is dedicated to creating new automation solutions that enhance overall efficiencies through advanced robotic technologies. The ideal candidate is an MS/MEng or a minimum third-year BS/BEng student in Electrical, Mechanical, Mechatronics, or a similar engineering discipline with a focus on robotics. They have experience with ROS(2), robotic programming and controls, and initial exposure to validation processes for the functional and reliability evaluation of complex robotic systems. Additionally, the candidate should possess some experience in machine vision/image analysis, tactile perception, and/or sensor fusion techniques for task automation.
The successful candidate will work in a culture that fosters creativity and problem-solving. This position is crucial to the Advanced Robotics Group and will be part of a tightly knit development team that creates advanced manufacturing solutions for the future.
Position Term
Essential Duties and Responsibilities
Knowledge and Education
Compensation
Skills and Competencies
Work Environment
Additional Information
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:
Fixed Term (Fixed Term)
Group:
Magna Corporate
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
Magna Corporate R&D in Toronto is seeking a talented, visionary, and self-motivated Robotics Engineering Co-op student to join the Advanced Robotics Group for a 12-16-month term (PEY).
As part of Magna Corporate R&D's Advanced Manufacturing Department, the Robotics Group is dedicated to creating new automation solutions that enhance overall efficiencies through advanced robotic technologies. The ideal candidate is an MS/MEng or a minimum third-year BS/BEng student in Electrical, Mechanical, Mechatronics, or a similar engineering discipline with a focus on robotics. They have experience with ROS(2), robotic programming and controls, and initial exposure to validation processes for the functional and reliability evaluation of complex robotic systems. Additionally, the candidate should possess some experience in machine vision/image analysis, tactile perception, and/or sensor fusion techniques for task automation.
The successful candidate will work in a culture that fosters creativity and problem-solving. This position is crucial to the Advanced Robotics Group and will be part of a tightly knit development team that creates advanced manufacturing solutions for the future.
Position Term
- This position will commence on September 1, 2026, and conclude on August 27, 2027.
Essential Duties and Responsibilities
- Contribute to operating the newly built Advanced Robotics Lab at the Magna Innovation Campus Toronto, including communication with internal and external stakeholders and the development of test and validation plans, including resources and materials.
- Work on the definition, technical feasibility analysis, and hardware and software specification of test solutions applicable to various advanced robotic technologies, including object recognition, machine vision, motion planning, tactile perception, and dexterity.
- Collaborate with cross-functional engineering, product management, and/or program management teams to drive new product development programs from concept to production.
- Understand system requirements, work with the team to establish and validate operational windows, design experiments, and define test plans.
- Implement test systems, including proposing appropriate hardware (e.g., fixtures, sensors, actuators) and interfacing electrical or computer systems (e.g., data acquisition systems).
- Execute test plans, collect test data, perform data analysis, and report and present the results.
- Attend technical conferences and stay connected with academic developments to learn new tools and methodologies and stay up to date on market and technical trends.
- Comply with designated ISO/TS 16949 responsibilities, Health & Safety (H&S) rules and practices, and Magna policies, procedures, and practices.
Knowledge and Education
- MS/MEng or a minimum third-year BS/BEng student in Electrical, Mechanical, Mechatronics, or a similar engineering discipline with a focus on robotics.
- Capabilities in ROS and Python programming; experience with other programming languages such as C/C++ and familiarity with NVIDIA's ISAAC Robotics & Omniverse Framework are considered assets.
- Initial experience working with robotic control systems, PLCs, and related communication interfaces.
- Familiarity with AI/ML methods, particularly for computer vision tasks and tactile sensing.
- Understanding of motion planning, actuators, kinematics, etc.
Compensation
- The compensation range for this position is $24.50 to $28.50 per hour.
Skills and Competencies
- Creative and self-motivated, with the ability to understand and divide a vision into prioritized tasks.
- Able to work independently on assigned tasks under supervision.
- Ability to resolve complex issues in creative, efficient, and effective ways.
- Excellent written (e.g., white papers) and oral (e.g., presentations) communication skills.
Work Environment
- Standard office environment and Robotics/Cobot Lab.
Additional Information
- Accommodations for disabilities related to the job selection process are available upon request.
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:
Fixed Term (Fixed Term)
Group:
Magna Corporate
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