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What we offer:

Group Summary:

Role Summary

The Industrial Engineering internship role provides students with the opportunities to apply academic knowledge and skills in a professional environment and to support/promote the students’ career goals through contacts with professionals in their fields of study. The internship experience enables students to participate in professional activities for Magna by working on important and innovative projects. Our internships are structured learning experiences where interns and our full-time professionals work together on projects within functional departments. The internship assignments allow students to integrate knowledge and skills in manners that are mutually beneficial to the students and Magna.

• Salary: $60,206 annually
• To fill an open vacancy as of May 4, 2026
• 16 month contract position

Key Responsibilities

• Develop standard documentation including process maps to reduce waste and drive improvement on operation KPIs
• Assist Engineers with time and motion studies to improve overall efficiency of manufacturing processes
• Actively participate in team meetings and provide input and take ownership of actions
• Contribute to the design of workstations, equipment, and material flow, AMR paths and plant layout to optimize workflow
• Support the implementation of lean manufacturing principles and techniques
• Conduct root cause analysis for material flow issues and recommend corrective actions
• Identify and implement continuous improvement related to material flow, operation, inventory management
• Support the setup, maintenance and interface of ERP systems that govern material flow operations
• Assisting in the transformation of Magna’s material flow in the implementation of Pull Methodology.  
• Collect Relevant Data, perform data analysis to measure material flow performance and identify areas of improvement
• Support the day-to-day activities as required from the department

Key Qualifications/Requirements

• Preferred Engineering Discipline: Industrial
• Ideal candidates must have exceptional interpersonal and communication skills
• Strong work ethic and Attention to detail
• Effective problem-solving skills, and ability to manage deadlines and multiple concurrent tasks
• Capable of self-learning and generating own tasks
• Intermediate to advanced level of knowledge of Excel or other data analysis tools
• Basic programming knowledge (e.g., Python, Java, C#)
• Familiarity with process improvement methodologies such as Lean Six Sigma would be an asset
• Manufacturing experience would be an asset
• Currently enrolled in a co-op program
• To be considered, students must have a minimum, overall GRADE AVERAGE OF "B".

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.