Design and enhance computer vision algorithms for identifying defects, recognizing features, and driving automation in semiconductor manufacturing processes.Develop and deploy deep learning-based models to enable fast, precise inspection tasks.Integrate vision technologies with robotic systems, automation platforms, and backend semiconductor tools such as wire bonders and die bonders.Create and refine image processing methods for tasks like pattern detection, object localization, and quality control.Collaborate with multidisciplinary teams to advance real-time vision inspection systems and support production yield improvements.Perform data analysis, validate model performance, and adjust parameters to comply with industry benchmarks.Optimize vision system efficiency by minimizing latency and maximizing accuracy and reliability.Requirements of the role:
A Bachelors or Masters degree in Computer Science, Electrical Engineering, Robotics, or a closely related discipline.Solid background in computer vision, image analysis, and machine learning techniques.Skilled in developing vision applications using Python, C++, and libraries such as OpenCV, TensorFlow, or PyTorch.Hands-on experience with deep learning architectures (e.g., CNNs, GANs, Transformers) is a strong asset.Experience or familiarity with semiconductor manufacturing, optical inspection systems, or metrology is beneficial.Understanding of real-time computing, embedded platforms, and hardware-accelerated processing (e.g., CUDA, FPGA) is desirable.Excellent analytical thinking, problem-solving abilities, and effective communication skills. 