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1. Vision System Development
. Design and implement machine vision solutions for wafer/die level inspection and metrology
. Develop image processing algorithms (defect detection, pattern recognition, edge detection, etc.)
. Work with cameras, optics, and lighting systems to capture high-quality images
2. Algorithm & Software Engineering
. Write and optimize code (commonly in C++, Python, or MATLAB)
. Develop and test vision algorithms for speed and accuracy
. Integrate vision modules into larger semiconductor equipment systems
3. R&D & Innovation
. Research new imaging techniques (e.g., AI-based vision, 3D imaging)
. Prototype and validate new concepts for next-generation equipment
. Improve resolution, throughput, and detection sensitivity
4. System Integration
. Collaborate with mechanical, electrical, and process engineers
. Integrate vision systems into tools like wafer inspection systems or AOI related machines
. Troubleshoot system-level issues
5. Data Analysis & Optimization
. Analyse imaging data to improve yield and defect detection
. Tune algorithms based on real production data
. Perform root cause analysis for vision-related issues
. Work on site testing and commissioning and customer support services
Job Requirements
1. Bachelor's or Master's degree in:
. Electrical Engineering
. Computer Engineering
. Computer Science
. Physics or related field
2. 5+ years of experience in machine vision, image processing, or related fields
3. Strong programming skills in:
. C++ / Python / MATLAB / Zemax / Code V
4. Hands-on experience with:
. Image processing and computer vision techniques
. Vision tools/libraries (e.g., OpenCV, Halcon, Cognex VisionPro)
. Cameras, optics, and lighting systems
5. Experience in semiconductor equipment or wafer inspection systems
6. Knowledge of semiconductor processes (wafer sorting, photonics testing, die attach and etc.)
7. Familiarity with AI / deep learning for vision applications
8. Experience with 3D vision or metrology systems
9. Strong understanding of optics and imaging physics
Job ID: 148271355
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