Responsibilities:
- Design, develop, and optimize computer vision algorithms for defect detection, feature recognition, and automated inspection processes.
- Implement deep learning-based vision models to support high-speed and high-accuracy inspection systems.
- Integrate vision solutions with robotics, automation platforms, and manufacturing equipment.
- Develop and enhance image processing techniques for pattern recognition, object tracking, and quality assurance applications.
- Collaborate with cross-functional teams to improve real-time inspection capabilities and production efficiency.
- Perform data analysis, model validation, and performance optimization to meet operational and quality standards.
- Optimize vision system performance with a focus on accuracy, robustness, and processing efficiency.
- Master’s Degree in Computer Engineering, Physics, Mathematical, or a related discipline.
- Candidates without prior experience are welcome to apply.
- Knowledge in computer vision, image processing, and machine learning.
- Proficiency in Python, C++, OpenCV, TensorFlow, or PyTorch for vision-related applications.
- Knowledge of deep learning architectures such as CNNs, GANs, and Transformers for computer vision applications.
- Understanding of model architecture design, model fine-tuning, and performance optimization.
- Experience in semiconductor manufacturing, automation systems, optical inspection, or metrology is an added advantage.
- Knowledge of real-time processing, embedded systems, and hardware acceleration technologies such as CUDA and FPGA is an added advantage.
EA Personnel Name: Felicia Chiam Kar Min
EA Personnel Reg. No.: R25152370
EA Licence No.: 07C5771