Vision Engineer

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.

Proof of Principle & Vision Lab Ownership

• 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.

Project Execution & Technical Support

• 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.

Estimation, Quotation & Business Support

• 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.

Mentorship & Technical Leadership

• 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.

Validation, Verification & Quality Support

• 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.

Continuous Improvement & Technology Development

• 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

Desired Qualifications

• 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