Lead Machine Vision Engineer

Capsa Solutions, LLC

• $110K — $130K *
Healthcare
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Mechatronics, Physics, or a similar field.
  • 10+ years of engineering experience in production machine vision systems.
  • Strong software engineering skills in Python and C++.
  • Practical machine learning and computer vision expertise with model training and maintenance.
  • Hands-on experience with industrial vision hardware such as cameras and lighting systems.

Responsibilities

  • Lead the development of vision architecture for pharmacy automation technology.
  • Enhance and maintain production-grade computer vision systems.
  • Train and maintain detection/classification models for operational efficiency.
  • Evaluate model performance and develop annotated image datasets.
  • Diagnose imaging issues and recommend hardware modifications as needed.
  • Integrate on-premises systems with cloud environments using REST/gRPC.

Benefits

  • Paid time off and holidays
  • Medical, dental, and vision coverage
  • Paid parental leave
  • 401(k) with company match
  • Company-paid Life, AD&D, and Long-Term Disability insurance
Full Job Description
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.

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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