Vision Engineer

Overview

Machine Vision & Inspection System Development

• Design and implement automated inspection solutions including:
  • Part presence/absence
  • Dimensional verification
  • Cosmetic inspection
  • Code reading (1D/2D, OCR/OCV)
  • Defect detection and classification
• Select, configure, and deploy industrial vision hardware and software platforms, including:
  • Cognex
  • Keyence
  • Matrox / Zebra
  • Basler
  • Other comparable vision and imaging technologies
• Develop vision algorithms using rule-based and data-driven techniques appropriate to inspection risk and regulatory requirements.
• Integrate vision systems with PLCs, motion systems, robotics, and HMI/SCADA platforms.
• Support electrical design and software architecture decisions related to inspection hardware, lighting, optics, and network topology.
• Participate in machine debug, factory acceptance testing (FAT), site acceptance testing (SAT), and customer training activities.

• Lead or support vision-focused Proofs of Principle (PoP) during:
• Quotation phases
• High-risk technical assessments
• New inspection technology evaluations
• Organize, maintain, and continuously improve the internal vision lab, including:
• Cameras, lenses, lighting, and fixtures
• Sample parts and inspection artifacts
• Software licenses and development tools
• Develop reusable PoP methodologies, templates, and test documentation to improve consistency and speed of technical evaluations.
• Support internal training activities related to machine vision and inspection best practices.

• Collaborate with Mechanical Engineering, Controls Engineering, Software Engineering, and Systems Engineering to define inspection requirements and system-level interfaces.
• Provide hands-on support during:
  • Electrical assembly
  • Controls integration
  • Vision system tuning and optimization
• Troubleshoot complex inspection issues involving optics, lighting, mechanics, motion, and software interactions.
• Communicate inspection risks, assumptions, and limitations clearly to project teams and management.

• Support Applications Engineering and Controls Engineering Management with:
  • Inspection concept feasibility assessments
  • Technical risk identification
  • Initial estimates for vision and inspection scope during quotation
• Provide input on inspection system cost drivers, complexity, and schedule impacts.
• Participate in technical reviews during proposal development and early project phases.

• Mentor Associate and mid-level Controls Engineers on:
  • Vision system fundamentals
  • Inspection strategy development
  • Debug and optimization techniques
• Share lessons learned and best practices through:
  • Design reviews
  • Informal training sessions
  • Standards and guideline contributions
• Support continuous improvement initiatives related to inspection system robustness, reuse, and validation readiness.

• Support verification and validation activities aligned with:
  • GAMP principles
  • Internal quality procedures
  • Customer documentation requirements
• Assist in the development and execution of:
  • Inspection test plans
  • Validation protocols
  • Traceability documentation
• Ensure inspection system design supports regulatory expectations for Medical Device and Life Sciences equipment.

• Stay current with emerging technologies in:
  • Machine vision
  • Inspection algorithms
  • Machine learning and AI-assisted inspection
• Contribute to the evaluation and adoption of new inspection tools, methods, and platforms.
• Participate in departmental standards development and process improvement initiatives

• Essential Qualifications
  —

• Bachelor’s degree in Engineering (Mechanical, Electrical, Computer, Systems, or related field), or equivalent combination of education and experience.
• Minimum of 5 years of experience in automation, machine vision, or inspection system development.
• Hands-on experience developing industrial machine vision systems using multiple platforms (e.g., Cognex, Keyence, Matrox/Zebra, Basler).
• Experience integrating vision systems with PLC-based control systems.
• Strong troubleshooting skills across hardware, software, optics, and mechanical interfaces.
• Demonstrated effective interpersonal and written communication skills.
• Proficiency in English, both spoken and written

• Familiarity with machine learning concepts as applied to inspection (classification, anomaly detection, data-driven vision).
• Experience with high-level programming languages such as Python, C#, or similar for inspection tooling or data analysis.
• Exposure to GAMP documentation standards and validation practices.
• Experience supporting quotation activities or early-phase technical risk assessments.
• Familiarity with industrial networking concepts (Ethernet/IP, TCP/IP).
• Experience working in regulated industries (Medical Device, Life Sciences, Pharmaceutical)

Salary range $100,000-$120,000