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# Sr. Vision Software Engineer

- **Company:** Cohu, Inc.
- **Location:** San Diego, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Computer Vision, Automation of Tests, C Sharp (Programming Language), C++ (Programming Language), Computer Terminals, Python (Programming Language), Machine Learning, Microsoft Visual Studio, Windows Presentation Foundation, Object Detection, Object-Oriented Software Development, OpenCV, Tensorflow, Software Engineering, UML, Windows Desktop, 3d Imaging, Git, Software Version Control
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/094a5c97-77af-41c9-89b2-e3e7500e7faf

## About the Role

* Education/Training: Bachelor of Science in Engineering or Science. Master's degree preferred.
 * Experience: 5+ years developing machine vision software in industrial environments; 5+ years C++/C#/.NET Windows desktop development (WPF); hands-on integration with vision hardware (industrial cameras, lenses, and illumination).
 * Skills/Technical Requirements (Required): Strong C++ and/or C#/.NET skills (Visual Studio) with Git-based source control; practical experience developing machine vision/image-processing algorithms (e.g., OpenCV or similar libraries) and applying object-oriented design across the full software development lifecycle.
 * Skills/Technical Requirements (Preferred): Experience with TensorFlow (or similar ML frameworks), 2D/3D imaging and camera calibration, optics/lighting, UML, and delivering production diagnostics and support in a factory environment; excellent written and verbal communication and ability to mentor others.

Job Conditions/Physical Demands:

Domestic or international travel may be required. Prolonged periods of sitting at a computer terminal. Use of a keyboard.

## Description

1. Contribute to design, testing, and integration across the full project lifecycle to deliver production-ready vision capabilities.
 2. Research and develop scalable, modern computer vision for 2D/3D imaging, camera calibration, object detection, image processing, segmentation, metrology, alignment, and identification.
 3. Engineer vision solutions for automated test handlers and other quality inspection equipment.
 4. Design, implement, and deploy full-stack machine vision (image-based) and machine learning solutions using C++, C#, and Python.
 5. Collaborate closely with mechanical, electrical, and manufacturing engineering teams to integrate and validate vision solutions.
 6. Provide production support for the test floor and manufacturing by troubleshooting vision issues, analyzing logs/images, and implementing corrective improvements as needed.
 7. Interface with customers and sales on projects as required.

Supervisory Responsibility: May provide work leadership and training to lower-level professional employees but not required.


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