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# Machine Vision Engineer

- **Company:** Manpower
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $166,400.0 - $187,200.0
- **Contract:** Temporary contract
- **Skills:** Computer Vision, Communications Protocols, Computer Engineering, Ethernet, TCP/IP, Visual Systems, Software Application Programming, Information Technology, Allen-Bradley Factory Automation Equipment
- **Published:** November 4, 2026
- **Apply:** https://www.manpower.com/en/job/architecture-and-engineering/machine-vision-engineer/417044

## About the Role

Our client, a leading industrial automation and advanced manufacturing company, is seeking a Machine Vision Engineer to join their team. As a Machine Vision Engineer, you will be part of the Engineering and Automation team supporting manufacturing, quality, and production operations. The ideal candidate will have strong problem-solving skills, attention to detail, and excellent communication abilities, which will align successfully within the organization., o Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, Computer Science, Robotics, or a related technical discipline.
o Minimum 5 years of hands-on experience developing machine vision applications within industrial manufacturing environments.
o Expert-level experience programming Keyence XG-X Vision Systems and developing applications using Cognex VisionPro and Cognex In-Sight Explorer.
o Strong understanding of machine vision fundamentals, including optics, cameras, image processing, field of view, depth of field, lighting techniques, and metrology.
o Experience integrating machine vision systems with industrial PLC platforms such as Allen-Bradley/Rockwell, Siemens, or Beckhoff, utilizing industrial communication protocols including EtherNet/IP and TCP/IP.

## Description

o Design, develop, and deploy machine vision inspection solutions utilizing Keyence XG-X Series and Cognex Vision Pro/In-Sight platforms.
o Select and optimize cameras, lenses, lighting, sensors, and optics to achieve robust and repeatable inspection performance.
o Develop, validate, and troubleshoot vision algorithms for defect detection, dimensional measurement, OCR/OCV, barcode reading, alignment, and process verification.
o Integrate vision systems with PLCs, industrial networks, robotics, and MES systems to support automated manufacturing operations.
o Support feasibility studies, equipment commissioning, production launches, and continuous improvement initiatives.