Jobs / United States / Medtronic INC
Principal AI Computer Vision Engineer
Medtronic INC · 🇺🇸 Fridley, Minnesota, United States of America
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 193 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 106 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Medtronic INC paid sponsored hires in similar roles2 certified filings for “Pr. Computer Vision Data Scientist - Manufacturing” (Data Scientists) in MN: $84k–$142k, median $113k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Medtronic INC
The US Department of Labor certified 193 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 106 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Medtronic INC →
About the role
We anticipate the application window for this opening will close on - 12 Sep 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life 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 onsite 4 days a week as part of our commitment to fostering a culture of professional growth and cross-functional collaboration as we work together to engineer the extraordinary. The person in this role will work from the Medtronic facility located in Rice Creek, Minnesota. This role will require 25% of travel to enhance collaboration and ensure successful completion of projects. Our award-winning Analytics for Manufacturing Imaging (AMI) team is pioneering the use of AI computer vision in manufacturing, developing scalable platform capabilities that enable every manufacturing engineer to unlock value from visual data. Building on this foundation, the Visual Process Monitoring (VPM) Deployment Acceleration Team is responsible for deploying AI-enabled process monitoring solutions across Medtronic's global manufacturing network. As a Principal AI Computer Vision Engineer, you will serve as a technical enabler for VPM project delivery by accelerating computer vision model development, deployment, and adoption across manufacturing sites. This role combines hands-on computer vision with stakeholder enablement. You will work directly with manufacturing, automation, quality, and process engineering teams to transform image data into actionable process intelligence. You will help teams collect data, develop and train models, deploy solutions using the AMI platform, and build long-term site capability through coaching and technical mentorship. Unlike traditional computer vision research roles, this position is focused on scaling repeatable deployment patterns and enabling successful project execution across a growing portfolio of VPM initiatives. Primary 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-s