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Senior Engineering Manager – Machine Vision Inspection Systems

Senior Engineering Manager – Machine Vision Inspection Systems

CompanyMedtronic
LocationMinneapolis, MN, USA
Salary$160000 – $240000
TypeFull-Time
DegreesBachelor’s
Experience LevelSenior, Expert or higher

Requirements

  • Bachelor’s Degree and 7+ years of Engineering experience including Machine Vision Systems with 5+ years of managerial experience OR 5+ years of Engineering experience including Machine Vision Systems and 5+ years of managerial experience

Responsibilities

  • 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
  • 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 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
  • Plan, direct and implement all aspects of the company’s design and development of scalable machine vision inspection system technologies from design to release
  • 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
  • Organize the coordination of activities with outside vendors, integrators, suppliers and consultants to ensure timely delivery
  • May develop, evaluate, implement and maintain technical quality assurance and control systems or reliability systems and standards pertaining to materials, techniques, or company products
  • Monitor documentation maintenance throughout all phases of research and development

Preferred Qualifications

  • 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
  • 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 regulatory standards such as ISO 13485, FDA regulations, or GMP
  • Hands-on process development experience (IQ/OQ/PQ, TMV, Process Characterization, DOEs)
  • DRM, DFSS, or Six Sigma Black Belt certification
  • Knowledge of advanced imaging techniques, such as 3D imaging, multispectral, or hyperspectral, for defect detection and quality assurance applications
  • Proficiency with data analytics tools and platforms for machine vision systems, including statistical analysis and AI/ML integration and deployment
  • Familiarity with Industry 4.0 concepts, such as IoT integration and cloud-based machine vision solutions
  • Programming skills with expertise in developing or customizing vision algorithms
  • A history of patents or publications related to machine vision, AI image processing, or inspection technologies
  • Ability to travel up to 20% depending on project phases

Benefits

    No information provided on Benefits.