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Corporate R & D, Summer Student
Corporate R & D, Summer StudentMagna International • Aurora, York Region, CA
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Corporate R & D, Summer Student

Corporate R & D, Summer Student

Magna International • Aurora, York Region, CA
2 days ago
Job type
  • Temporary
Job description

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

The Corporate R&D, Summer Student, will support technology projects within the R&D team, working with the engineering staff in performing evaluation of the technologies and the building blocks supportive of automotive products, advanced manufacturing principles, and software integration; this will include literature research, design and prototyping work, as well as testing and result presentation.

Major Responsibilities

  • Support R&D staff in robot programming and simulation work; execute smaller work packages individually and independently.
  • Explore, assess, and validate various AI models and datasets to enable robust AI training and development.
  • Conduct literature research and summarize results.
  • Operate collaborative robots under strict safety protocols, following detailed instructions.
  • Assemble prototypes and testing setups for collaborative robots, ensuring proper functionality and performance.
  • Analyze simulation, design, and measurement results, and create presentations / reports under supervision of R&D staff.

Your Preferred Qualifications

  • Electrical, Mechatronics, or Robotics engineering student with hands‑on experience in hardware development and programming (such as Arduino and LabVIEW).
  • Practical experience in computer vision, deep learning, and artificial intelligence.
  • Familiarity with PyTorch and machine learning architectures, including CNNs, ANNs, and RNNs.
  • Programming skills in common languages (Python, C / C++, Java, etc.).
  • Understanding of general engineering principles and their application to real‑world scenarios.
  • Ability to read and understand scientific papers and technical descriptions and to summarize key findings.
  • Mechanically adept and capable of assembly using standard hand tools.
  • Ability to work independently after instruction.
  • What We Are Looking For

  • Minimum 3rd‑year mechanical or electrical engineering student; minimum CGPA 3.7 / 4.0.
  • Familiar with Python / C++, SQL, and robotics principles.
  • Strong foundation in Mechatronics or Robotics.
  • Self‑starter with a “can‑do,” get‑the‑job‑done personality.
  • Work Environment

  • Normal amount of sitting or standing; average mobility to move around an office environment; able to conduct a normal amount of work at a computer. Small manual work without heavy lifting.
  • Accommodations for disabilities in relation to the job selection process are available upon request.
  • In‑person work only.
  • Compensation

  • This position offers an hourly wage of $20.00
  • Please Note

  • Accommodation for disabilities in relation to the job selection process is 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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