Advanced Manufacturing Engineer

Magna InternationalHighland Park, MI
17h

About The Position

We are seeking an experienced and forward-thinking Advanced Manufacturing Engineer to lead the deployment of digitization, automation, and smart manufacturing technologies across our operations. This role is critical to advancing our plant’s Industry 4.0 initiatives, improving efficiency, elevating data visibility, and driving continuous improvement through modern manufacturing solutions.

Requirements

  • Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering, Mechatronics, or related field.
  • 3+ years of experience in manufacturing engineering, automation engineering, or Industry 4.0 deployment.
  • Hands-on experience with PLCs, robotics systems, SCADA/MES platforms, or IIoT devices.
  • Strong understanding of data collection, machine connectivity, and industrial communication protocols.
  • Experience leading complex technical projects within a manufacturing environment.

Nice To Haves

  • Familiarity with Industry 4.0 platforms, digital twins, or automated quality inspection systems.

Responsibilities

  • Lead the planning, execution, and validation of automation and digitization projects, including robotics, IIoT systems, MES enhancements, machine connectivity, and data analytics tools.
  • Evaluate manufacturing processes and identify opportunities for automation, data collection, and smart technology implementation.
  • Support deployment and integration of Industrial IoT sensors, machine monitoring platforms, digital work instructions, and connected operator tools.
  • Collaborate with IT, Engineering, Maintenance, and Production teams to ensure seamless commissioning of advanced technology solutions.
  • Program, troubleshoot, and optimize automation systems—including PLCs, robots, and vision systems—as part of project deliverables.
  • Develop and maintain engineering documentation including PFMEAs, process flows, control plans, and standard work with a digitization-first approach.
  • Lead data-driven continuous improvement projects using OEE, downtime analytics, and machine data to drive performance gains.
  • Manage vendor relationships and oversee installation, commissioning, and acceptance of new automated equipment.
  • Train cross-functional teams on new technologies, ensuring adoption and long-term sustainability.
  • Ensure all digitization and automation initiatives comply with safety standards, cybersecurity protocols, and company policies.
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