About this opportunity
Capsa Healthcare lists this Lead Machine Vision Engineer opportunity in workfromhome, Ohio. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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Lead Machine Vision Engineer
Active - Exempt full-time Full time Canal Winchester, OH, US
Salary Range: $140,000.00 To $190,000.00 Annually
At Capsa Healthcare, we're engineering better care.
We build what healthcare runs on. Our pharmacy automation teams build the counting, packaging and robotic dispensing systems, and the software behind them, that pharmacies rely on to fill prescriptions at every scale, from a single retail counter to high volume central fill and mail order operations. It is engineering you can walk through. Join us and see how we're engineering a path to better care. Learn more about our solutions at .
We are seeking a Lead Machine Vision Engineer to own vision architecture, enhance production-grade computer vision systems, and lead innovation in pharmacy automation technology.
This position reports to the Senior Director of Enterprise Architecture and is a REMOTE role requiring 40% travel.
Why Join Capsa?
When you join Capsa Healthcare, you're joining a team dedicated to innovation, collaboration, and meaningful impact. Your work will directly support caregivers, improve clinical workflows, and help healthcare organizations provide better patient outcomes.
We are a global organization that values work-life balance, continuous improvement, and empowering employees to do their best work. If you're looking for an opportunity to apply your expertise to technology that truly makes a difference, we'd love to hear from you.
As the Lead Machine Vision Engineer, you will need experience with the following:
Strong Software Engineering Skills (Python and C++)
Advanced Python expertise with C++ experience for performance-critical applications.
Ability to develop maintainable, tested, version-controlled software following engineering best practices.
Practical Machine Learning and Computer Vision Expertise
Experience training and maintaining detection/classification models.
Building annotated image datasets, evaluating model performance against operational metrics, and deploying GPU based inference solutions.
Strong understanding of OpenCV, image processing, camera calibration, distortion correction, and barcode/DataMatrix decoding.
Industrial Vision Hardware Experience
Hands-on experience with industrial cameras, lenses, lighting, exposure settings, focus, depth of field, and motion analysis.
Ability to diagnose imaging issues and recommend hardware or configuration changes.
Linux, Networking, and System Integration Skills
Strong Linux administration and troubleshooting skills.
Experience with networking diagnostics, packet analysis, and connectivity troubleshooting.
Integration experience using REST/gRPC and connecting on-premises systems with cloud environments such as AWS.
What We’re Looking For
A Bachelor's or Master's degree in Computer Science, Electrical Engineering, Mechatronics, Physics, or a comparable discipline.
10+ Years of Engineering Experience in Production Machine Vision Systems
Extensive engineering experience with machine vision or applied computer vision systems operating in live production environments, not just prototypes or research projects.
What Capsa Offers
At Capsa Healthcare, we recognize that great people drive with great results. That's why we offer a competitive compensation and benefits package designed to support you professionally and personally, including:
Competitive salary commensurate with experience
Paid time off
Paid holidays
Medical, dental, and vision coverage
Paid parental leave
401(k) with company match
Company-paid Life, AD&D, and Long-Term Disability insurance
Voluntary Short-Term Disability, Supplemental Life, AD&D, Accidental Injury, and Hospital Indemnity insurance
Join Us in Engineering Better Care. If you're excited about using your engineering expertise to create innovative technologies that support healthcare professionals and improve patient outcomes, we invite you to apply and help us shape the future of healthcare.
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Worksite address
workfromhome, OH, 43110, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.