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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Process Engineer - Vision Systems - **Company:** Amphenol Corporation - **Location:** Valley Green, PA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Artificial Intelligence, Databases, Data Integration, Failure Mode Effects Analysis, Systems Analysis, Knowledge Management, OpenCV, Software Architecture, Systems Development Life Cycle, Statistical Process Control (SPC), Systems Integration, Visual Systems, Data Storage Technologies, Deep Learning, Break Fix, Software Version Control - **Published:** September 11, 2026 - **Apply:** https://www.thejobnetwork.com/job/7eb5ebd4-73fa-4092-8aad-8e782064d5f5/process-engineer-vision-systems ## About the Role * Bachelor's degree in Electrical, Automation, Computer, Mechanical, Manufacturing Engineering, Mechatronics, or a related technical field. * 5+ years of hands-on machine-vision, automated inspection, metrology, industrial image-processing, or vision-system integration experience is strongly preferred. * Strong knowledge of cameras, optics, lenses, lighting, 2D/3D sensing, image processing, part presentation, fixturing, inspection algorithms, industrial communications, and production-environment robustness. * Experience with Cognex, Keyence, Omron, Halcon, OpenCV, or similar platforms; exposure to AI/deep-learning inspection or 3D metrology technologies is a plus. * Demonstrated experience with measurement-system analysis, GR&R, correlation, challenge samples, false-accept/false-reject studies, SPC, and validation of automated inspection systems. * Experience integrating vision with PLCs, robots, automated equipment, MES, traceability/genealogy, databases, and production-control logic is strongly preferred. * Strong hands-on troubleshooting, technical documentation, supplier/integrator management, training, and cross-site coaching skills; ability to influence global teams without direct authority. * Experience in electronics, connectors, cable assembly, precision assembly, or other high-volume manufacturing environments is preferred. * Travel - Approximately 30-50% domestic and international travel, with increased travel during technology development, factory deployments, qualifications, and major production ramps. ## Description * Serve as the CBS global technical process owner for machine-vision and automated-inspection systems, responsible for inspection strategy, technology development, process readiness, validation, standardization, deployment, and sustained capability across global manufacturing sites. o Define the machine-vision technology roadmap and evaluate new 2D/3D vision, structured-light/profilometry, AI/deep-learning inspection, OCR/OCV, measurement, and defect-detection technologies where they provide clear manufacturing value. o Translate drawings, CTQs/CTFs, PFMEA/control-plan risks, cosmetic criteria, dimensional requirements, defect modes, and traceability needs into measurable inspection requirements, challenge criteria, and system acceptance specifications. o Develop robust vision solutions by optimizing cameras, lenses, lighting, sensors, part presentation, fixturing, algorithms, recipes, image processing, and system logic for expected product and process variation. o Convert proven inspection concepts into repeatable factory solutions and deploy them globally through technical specifications, integrator development, FAT/SAT, MSA/correlation, site qualification, training, controlled release, and ramp support. * Process Readiness & NPI Governance - Own vision-system readiness through prototype, EVT, DVT, PVT, qualification, pilot, and MP ramp. Define phase-gate criteria for inspection requirements, hardware/software readiness, recipes, challenge samples, MSA, data capture, reject logic, documentation, training, and production support. * Measurement-System Development & Validation - Establish validation methods for repeatability, reproducibility, correlation, detection capability, false-accept/false-reject performance, robustness, and sensitivity to expected process variation. Lead GR&R, challenge-sample studies, golden/reference sample strategy, and production correlation. * New Technology & Platform Development - Develop scalable inspection platforms and common architectures for cameras, optics, lighting, 2D/3D sensing, AI/deep learning where appropriate, controllers, computing, edge processing, and inspection software; evaluate emerging technologies through structured trials before deployment. * Automation, Controls & Data Integration - Integrate vision systems with PLCs, robots, motion, reject mechanisms, alarms, MES/traceability, serial-number genealogy, image/data storage, process interlocks, and equipment-control logic so inspection results drive reliable manufacturing decisions. * Global Factory Deployment & Site Enablement - Lead technical deployment into CBS factories, including design review, installation readiness, commissioning, FAT/SAT closure, site correlation, production qualification, engineer/technician training, troubleshooting, and stabilization through MP ramp. * Standardization & Technical Governance - Define approved hardware/software architectures, camera/lens/lighting selection methods, programming practices, inspection-development standards, recipe/version control, backup/recovery, access control, MSA requirements, change control, documentation, and technical approval criteria for major system changes. * Site Team Development & Technical Escalation - Act as the global subject-matter expert for vision systems; coach site engineers, build local troubleshooting and programming capability, support difficult escape/over-reject investigations, and provide technical escalation for system, algorithm, lighting, fixturing, or integration limitations. * Supplier / Integrator Management - Develop URS and acceptance criteria for vision integrators and equipment suppliers; lead technical reviews, concept selection, feasibility trials, FAT/SAT, performance-gap closure, commissioning, lifecycle support, and future-platform development. * Continuous Improvement & Knowledge Management - Improve detection robustness, measurement capability, cycle time, false-reject rate, uptime, maintainability, data quality, and reuse of common solutions. 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