Robotics Engineering, Summer Student

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Magna Corporate R&D in Toronto is seeking a talented, visionary, and self‑motivated Robotics Engineering Summer Student to join the Advanced Robotics Group for a four‑month internship term. As part of Magna Corporate R&D’s Advanced Manufacturing department, the Robotics Group is dedicated to creating new automation solutions that increase efficiencies through advanced robotic technologies.

The ideal candidate is an MS/MEng or BS/BEng student, in at least their 3rd year, studying Electrical, Mechanical, Mechatronics, or a related engineering field with a focus on Robotics. Candidates should have experience with ROS(2), Python, robotic programming and controls, and initial exposure to validation processes for functional and reliability evaluation of complex robotic systems. Additional experience in machine vision/image analysis, tactile perception, and/or sensor‑fusion techniques is preferred.

This position is crucial to the Advanced Robotics Group and provides the opportunity to work in a culture that fosters creativity and problem‑solving. The successful candidate will be part of a tightly knit development team that is building advanced manufacturing solutions for the future.

• 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 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 progress 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.

• MS/MEng or minimum 3rd-year BS/BEng student in Electrical, Mechanical, Mechatronics-or similar engineering-with a focus on Robotics.

• Capabilities in ROS and Python programming; other programming languages such as C/C++ and familiarity with NVIDIA’s ISAAC Robotics Framework, etc., are an asset.

• Initial experience in working with robotic control systems, PLCs, and related communication interfaces.

• Familiarity with AI/ML methods, in particular for computer-vision tasks, tactile sensing, etc.

• Understanding of motion planning, actuators, kinematics, etc.

• 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 and oral communication skills.

• Standard office environment and Robotics/Cobot Lab.

Compensation

• The hourly rate for this position ranges from $24.50 - $28.50.

• Accommodation for disabilities in relation to the job selection process is available upon request.

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.