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Lead Machine Vision Engineer

Role overview

Qualifications

  • 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
  • Strong Software Engineering Skills (Python and C++)
  • Practical Machine Learning and Computer Vision Expertise

Responsibilities

  • Own vision architecture and enhance production-grade computer vision systems
  • Lead innovation in pharmacy automation technology
  • Develop maintainable, tested, version-controlled software following engineering best practices
  • Diagnose imaging issues and recommend hardware or configuration changes

Key facts

Hard skills

Other skills

  • Problem Solving
  • Collaboration
  • Time Management

About the company

Capsa Healthcare logo

Capsa Healthcare

Medical Devices & Equipment

As a trusted partner for organizations across the healthcare continuum, Capsa is committed to simplifying the care delivery process, so that providers can focus on patients rather than processes.      We engineer purpose-built solutions that optimize performance, accuracy, and efficiency. Our areas of focus include central-fill pharmacy operations, medication management, mobile point-of-care solutions, clinical supplies organization, and analytics.      We deploy end-to-end pharmacy automation that streamlines medication dispensing and improves operation throughput.    We provide customizable point-of-care workstations and virtual care platforms that empower providers to elevate bedside care with on-demand access to medication, electronic health records, and clinical support implements.    We offer comprehensive analytics capabilities that give healthcare leaders insight into optimizing workflows and care delivery efficiencies.      Put simply, our innovative solutions streamline essential tasks that improve productivity and increase patient and provider satisfaction.      The heart of Capsa Healthcare is our desire to deliver better care at a better return on investment. We believe that provider satisfaction, patient outcomes, and ROI are mutually compatible goals.

Company details

IndustryMedical Devices & Equipment
Company size501 - 1000

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Job description

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 www.capsahealthcare.com.

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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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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