Manufacturing Engineering Manager Jobs in Toronto, ON

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Modatek Systems is looking for a Manufacturing Engineer who wants to do more than maintain today's processes. This role combines hands on manufacturing engineering with the opportunity to help bring new technology into a high volume automotive plant. You will design, improve and launch assembly processes while helping identify, pilot and scale Factory of the Future solutions, including AI enabled analytics, automation, robotics, machine vision, connected equipment and digital manufacturing tools.

You will take ideas from concept to production, solve real shop floor problems, and see the impact of your work in safety, quality, throughput, cost and team effectiveness.

• Lead mid-sized engineering projects from planning through launch, with increasing ownership and autonomy.
• Design, build and improve assembly processes for full perimeter frames, front and rear cradles, and rear twist axles.
• Identify and implement smart manufacturing opportunities, including AI and data analytics, robotics and automation, machine vision, connected equipment and IoT, digital workflows and other emerging manufacturing technologies.
• Use production data, time and motion studies, cycle time analysis, line balancing and manpower studies to remove bottlenecks and improve flow.
• Partner across Operations, Quality, Maintenance, Tooling, IT/OT, suppliers and customers to improve safety, ergonomics, quality, productivity and equipment reliability.
• Develop project scopes, cost estimates, quotes, capital requirements and business cases for tooling, equipment and technology investments.
• Oversee tooling and equipment design, build, approval, relocation, installation and production readiness.
• Support structured problem solving for production and quality issues, and drive sustainable corrective actions.
• Coordinate customer approved engineering changes, including communication, parts, processes, tooling and documentation updates.
• Maintain plant layouts and engineering documentation and help standardize successful solutions so they can be scaled.
  

• Post-secondary education in Mechanical, Manufacturing or Industrial Engineering, or a closely related discipline.
• 3+ years of related experience in a lean or advanced manufacturing environment. Automotive assembly experience is an asset.
• Working knowledge of Geometric Dimensioning and Tolerancing (GD&T) and the ability to read and interpret CAD drawings. AutoCAD experience is an asset.
• Practical experience with project management, costing and quoting.
• Mechanically inclined, with a practical understanding of equipment, tooling and fixtures, and comfort troubleshooting them directly on the floor.
• Strong hands on problem solving, ownership and the ability to turn ideas into implemented solutions.
• Curiosity and confidence learning new technology. Experience or exposure to AI and data analytics, automation and controls, robotics, machine vision, IoT or Industry 4.0 is an asset, not a requirement.
• Clear communication and the ability to work effectively across technical and operations teams.
• Flexibility to support occasional off-shift work, overtime or travel during critical launches, installations or customer needs.

Salary Range: $85,000 - $105,000

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.

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.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.