We anticipate the application window for this opening will close on - 18 Apr 2025

 

At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.

A Day in the Life

As a Machine Vision Engineer 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. (https://www.medtronic.com/us-en/healthcare-professionals/products.html/).
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. Our vision is to become best-in-class and create a competitive advantage for the company.

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.

This role will be hybrid - Rice Creek/remote

• 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

• Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms

• Completes programming and implements efficiencies, performs testing and debugging

• Completes documentation and procedures for installation and maintenance

• Conduct feasibility studies, performance evaluations, including validation and verification (FAT/SAT) activities of machine vision manufacturing equipment systems

• Uses statistical techniques evaluate image systems and algorithms to improve product/system performance, quality, data management and accuracy

• Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations

• 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 Haves

Bachelor’s Degree and 7+ years of Engineering experience including Machine Vision Systems OR advanced degree and 5+ years of experience

Nice to Have

• Advanced degree in Engineering

• Vision and Automation manufacturing equipment system design experience

• Expertise with 2D and 3D hardware components commonly used in machine vision equipment systems, including cameras, lenses, lighting, and frame grabbers

• Solid understanding of machine vision principles and image processing techniques

• Experience in developing and implementing machine vision systems, preferably in the medical device industry

• Strong analytical and problem-solving skills, with the ability to translate complex requirements into practical solutions

• Excellent communication and teamwork abilities, with the capacity to collaborate effectively across multidisciplinary teams

• Experience deploying AI and deep learning algorithms to production

• Experience with regulatory requirements and standards for medical devices

• Attention to detail and a commitment to producing high-quality work

• Ability to work in a dynamic environment and find creative so