Machine Vision Systems Development Engineer.

Careers that Change Lives -  hybrid - available locations Rice Creek, MN (preferred), Switzerland Tolochenaz, Parkmore Galway, or Juncos Puerto Rico, Tempe AZ

Machine Vision Systems Development Engineer

Medtronic has declared its bold ambition : to become the global healthcare technology leader. We seek to reach more patients, in more meaningful ways, more quickly. Global Operations and Supply Chain (GO&SC) plays an essential role in delivering on this bold ambition. Our vision is to become best-in-class and create a competitive advantage for the company. Our new GO&SC strategy and structure will help us do this.

Best-in-class means we consistently deliver excellence in service, quality, cost, safety, people management, continuous improvement, supply management, product lifecycle management, digitalization, and sustainability.

As a Machine Vision Systems Development Engineer Science Enginee in the global Operations Innovation team at Medtronic, your role is crucial in developing machine vision technology and manufacturing equipment systems for automated inspection of high-quality components used in medical devices. Your work will contribute to improving the efficiency, accuracy, and reliability of manufacturing processes across Medtronic's 70 global manufacturing facilities. ().

A Day in the Life

Responsibilities may include the following and other duties may be assigned.

• Design and optimize image acquisition manufacturing equipment systems, including camera selection, optic lens selection, lighting, and calibration techniques.
• Leverage commercial machine vision technologies such as Cognex, Keyence, Halcon, LMI and / or GigE components, where appropriate.
• Collaborate with internal and external resources to integrate machine vision manufacturing equipment systems into manufacturing processes, ensuring seamless operation and compatibility.
• Develop and implement machine vision algorithms and systems for product quality, including image processing, object detection, recognition, and tracking.
• Conduct feasibility studies, performance evaluations, including validation and verification (FAT / SAT) activities of machine vision manufacturing equipment systems.
• Stay up-to-date with the latest advancements in machine vision technology imaging techniques and apply them to enhance our product quality.
• Collaborate with regulatory and quality teams to ensure compliance with relevant standards and regulations governing medical devices.
• Provide technical support and troubleshooting expertise for machine vision-related manufacturing equipment issues during the product development lifecycle.
• Document and maintain comprehensive design specifications, test protocols, and reports.
• Lead your own projects, synthesize requirements, and provide optimal technology solutions with an effective roadmap for the development of vision hardware and analytics applications.

Must Have : Minimum Requirements

Nice to Have