Lead Machine Vision Engineer

Capsa Healthcare

. Own vision architecture . Enhance production-grade computer vision systems . Lead innovation in pharmacy automation technology . Develop and maintain machine vision software in Python and C++ . Train and maintain

Posted 9/23/2026full-timeRemote • Ohio • United StatesSenior💰 $140,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates advanced expertise in Python and C++ for developing and maintaining machine vision software, with a strong focus on deploying GPU-based inference solutions and integrating REST/gRPC services in cloud environments like AWS. Possesses extensive experience in training detection/classification models and evaluating their performance in production-grade computer vision systems.

Highest-signal resume keywords

Advanced Python ExpertiseC++ ExperienceMachine Vision Software DevelopmentGPU-Based Inference SolutionsLinux Administration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Vision SystemsDetection/Classification Model TrainingAnnotated Image Dataset BuildingModel Performance EvaluationOpenCVImage ProcessingNetworking DiagnosticsPacket AnalysisREST/gRPC IntegrationCloud Environments

Tools & Technologies

Industrial CamerasLinux SystemsAWS

Industry Keywords

Pharmacy Automation TechnologyComputer VisionProduction EnvironmentsEngineering Best PracticesImaging Issues Diagnosis

Tech Stack

Tools & technologies

AWSCloudGRPCLinuxPythonC++

About the role

Key responsibilities & impact

Own vision architecture
Enhance production-grade computer vision systems
Lead innovation in pharmacy automation technology
Develop and maintain machine vision software in Python and C++
Train and maintain detection/classification models
Build annotated image datasets and evaluate model performance against operational metrics
Deploy GPU-based inference solutions
Configure and troubleshoot industrial vision hardware
Diagnose imaging issues and recommend hardware or configuration changes
Administer and troubleshoot Linux systems
Perform networking diagnostics, packet analysis, and connectivity troubleshooting
Integrate REST/gRPC services and connect on-premises systems with cloud environments such as AWS
Report to the Senior Director of Enterprise Architecture
Travel 40%

Requirements

What you’ll need

Advanced Python expertise with C++ experience for performance-critical applications
Ability to develop maintainable, tested, version-controlled software following engineering best practices
Experience training and maintaining detection/classification models
Experience building annotated image datasets
Experience evaluating model performance against operational metrics
Experience deploying GPU-based inference solutions
Strong understanding of OpenCV, image processing, camera calibration, distortion correction, and barcode/DataMatrix decoding
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
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
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

Benefits

Comp & perks

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
Work-life balance
Continuous improvement opportunities
Empowering employees to do their best work