Lead Machine Vision Engineer

About the role

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.

Responsibilities

• Own vision architecture and drive enhancements to production‑grade computer vision systems.
• Lead innovation in pharmacy automation technology.
• Develop maintainable, tested, version‑controlled software following engineering best practices (Python and C++).
• Train and maintain detection/classification models; build annotated image datasets; evaluate model performance against operational metrics; deploy GPU‑based inference solutions.
• Apply OpenCV, image processing, camera calibration, distortion correction, and barcode/DataMatrix decoding.
• Work with industrial cameras, lenses, lighting, exposure settings, focus, depth of field, and motion analysis; diagnose imaging issues and recommend hardware or configuration changes.
• Administer and troubleshoot Linux systems; perform networking diagnostics, packet analysis, and connectivity troubleshooting.
• Integrate on‑premises systems with cloud environments (AWS) using REST/gRPC.

Requirements

• 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 experience with machine vision or applied computer vision systems operating in live production environments (not just prototypes or research).

Benefits

• 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

Schedule

Remote position with approximately 40% travel.