Principal AI Computer Vision Engineer

Medtronic•Fridley, MN

21h•$160,800 - $241,200•Hybrid

About The Position

Medtronic is a global leader in healthcare technology dedicated to alleviating pain, restoring health, and extending life. With a mission to put patients first, Medtronic employs 95,000 people in over 150 countries, developing innovative medical technologies that improve the lives of over 72 million patients annually. This role is part of the award-winning Analytics for Manufacturing Imaging (AMI) team, which pioneers the use of AI computer vision in manufacturing to create scalable platform capabilities. The Visual Process Monitoring (VPM) Deployment Acceleration Team focuses on deploying AI-enabled process monitoring solutions globally. As a Principal AI Computer Vision Engineer, you will be a technical enabler for VPM project delivery, accelerating computer vision model development, deployment, and adoption across manufacturing sites. This role involves hands-on computer vision work and stakeholder enablement, collaborating with manufacturing, automation, quality, and process engineering teams to transform image data into actionable process intelligence. You will assist teams with data collection, model development and training, deployment via the AMI platform, and building long-term site capability through coaching and mentorship. This position emphasizes scaling repeatable deployment patterns and enabling successful project execution for VPM initiatives.

Requirements

7+ years of experience with a bachelor’s degree or 5+ years of experience with an advanced degree
3+ years experience applying AI, analytics, and computer vision solutions within manufacturing, automation, or operations
3+ years experience developing, training, and deploying computer vision models in production environments

Nice To Haves

Previous Medtronic Experience
Extensive Experience with industrial machine vision software such as MVTec HALCON
Experience with model evaluation, validation, explainability, performance monitoring, and lifecycle management
Experience collecting, curating, annotating, and managing image datasets for industrial AI applications.
Experience working with industrial vision systems, machine vision hardware, cameras, lighting, optics, or image acquisition systems.
Knowledge of traditional machine vision techniques including geometric measurement, feature extraction, edge detection, pattern matching, OCR/OCV, and rule-based inspection systems.
Knowledge of manufacturing processes, quality systems, validation requirements, and operational technology (OT) environments.
Experience partnering with manufacturing engineers, process engineers, automation engineers, quality engineers, and site operations teams.
Experience developing technical documentation, implementation playbooks, training materials, and best practices that enable scalable adoption of AI capabilities.
Demonstrated ability to coach, mentor, and upskill technical teams on computer vision, machine learning, and AI deployment best practices.
Experience leading multiple concurrent deployments while balancing technical execution, stakeholder engagement, and continuous improvement initiatives.
Passion for democratizing AI capabilities and building scalable, reusable solutions that accelerate adoption across a global manufacturing network.
Understanding of IQ/OQ/PQ, equipment validation, and change control practices in regulated manufacturing environments.
Experience with containerized AI deployments using Docker and Kubernetes

Responsibilities

Develop, train, validate, and optimize computer vision models for manufacturing applications including inspection, process monitoring, anomaly detection, segmentation, and classification.
Lead image dataset development activities including data collection, annotation strategies, data quality assessment, augmentation, and dataset curation to ensure robust model performance.
Partner with manufacturing sites to identify data requirements, collect imagery, develop datasets, and execute model training activities.
Support deployment of computer vision models through the Analytics for Manufacturing Imaging (AMI) platform.
Collaborate with integration engineers and deployment teams to implement end-to-end VPM solutions, including image acquisition, model execution, visualization, alerting, and monitoring workflows.
Configure, test, troubleshoot, and improve model performance across development and production environments.
Create and maintain reusable datasets, model templates, evaluation methodologies, and deployment workflows that accelerate future implementations.
Coach and mentor site engineers, VPM champions, and project teams on computer vision development, model evaluation, and AI best practices.
Deliver training materials, workshops, and technical documentation that improve adoption and self-sufficiency across manufacturing sites.
Support multiple concurrent VPM deployments while helping scale AI-enabled manufacturing capabilities across Medtronic's global manufacturing network.
Evaluate emerging computer vision technologies, foundation models, and AI tools that can improve deployment speed, model accuracy, and user adoption.
Contribute to standards and best practices for data collection, model development, validation, deployment, and lifecycle management across the VPM portfolio.