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

In this role, you will lead an international team of engineers and technicians in developing scalable machine vision platforms for defect inspection across Medtronic’s diverse product portfolio. Drive innovation and impact enterprise-wide goals, ensuring quality and performance while meeting cost-down targets.

At Medtronic, we bring bold ideas forward with speed and decisiveness to put patients first in everything we do. In-person exchanges are invaluable to our work. We’re working a minimum of 4 days a week onsite as part of our commitment to fostering a culture of professional growth and cross-functional collaboration as we work together to engineer the extraordinary. 

• Build, mentor, and supervise a geographically dispersed, high-performing technical team, fostering collaboration across regions and cultures

• Work closely with team members and leadership to define and achieve strategic goals for the Automated Vision Inspection Platform portfolio

• Collaborate on continuous improvement initiatives, including technology development and business processes, to drive efficiency and foster innovation

• Develop and maintain machine vision systems technology roadmap and budget, driving innovative defect inspection solutions

• Directs, as appropriate, all aspects of machine vision inspection system platforms and technologies across the full lifecycle, ensuring alignment whether developed internally or by external integrators

• Create compelling business cases, supported by ROI analysis, regulatory alignment, and projected operational benefits, to prioritize and secure funding for high-impact opportunities

• Provide strategic leadership for the Medtronic Manufacturing Imaging Technology and Analytics Center of Excellence, ensuring alignment with enterprise goals driving innovation and operational success

• Build strong partnerships with Manufacturing, Automation, Process, Quality, Regulatory, and Analytics for Manufacturing Imaging teams

• Organizes the coordination of activities with outside vendors, integrators, suppliers and consultants to support internal development of standard platforms and external integration into Automated Inspection Systems.

• May develop, evaluate, implement and maintain technical quality assurance and control systems or reliability systems and standards pertaining to materials, techniques, or company products.

• Monitors documentation maintenance throughout all phases of research and development.

People-centered, data-driven, connected. We're solving the world's biggest health challenges with healthcare technology. We fuse technology and research for groundbreaking solutions. From less-invasive surgery that minimizes a patient's downtime to the world’s smallest pacemaker, our technology transforms lives

Must Haves

• Bachelor’s Degree and 5+ years of Engineering experience including Machine Vision Systems OR Advanced Degree and 3+ years of Engineering experience including Machine Vision Systems

Nice to Have

• Demonstrated functional leadership excellence in manufacturing technology, including test, measurement, inspection, or related engineering system development, with a proven track record of delivering results in regulated industries

• Proven technical leadership of technology systems development projects

• Experience working with machine vision systems such as Cognex, Keyence, or similar platforms

• Strong background in machine vision algorithm development using commercial and custom rules-based and AI/ML techniques

• Proficiency with data analytics tools and platforms applied to machine vision systems, including statistical analysis and AI/ML integration and deployment

• Demonstrated hands-on success developing and deploying machine vision inspection systems, leveraging Measurement Systems Analysis (MSA) to ensure accuracy, reliability, and regulatory compliance

• Experience in automation and factory systems integration, such as seamless implementation of machine vision systems into broader manufacturing and control systems (e.g. MEC, SCADA)

• Proven success in transforming and stabilizing engineering organizations by implementing scalable processes, fostering innovation, and driving measurable improvements in efficiency, quality, and team performance in dynamic and unstructured environments

• Success deploying measurement systems with