ST SEMICONDUCTOR TESTING PTE. LTD. Hiring! Full Time Senior Vision Application Engineer in Central Region (Singapore), Earn up to SGD 7,000 - Ricebowl

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