Senior Vision Design Engineer

Key Responsibilities

• Design and develop computer vision, image processing, and deep learning algorithms for wafer inspection, defect detection, classification, and die alignment.
• Integrate and optimize optical systems, including industrial cameras, lenses, lighting, filters, and vision hardware.
• Develop automated calibration and alignment solutions to achieve high-precision wafer inspection.
• Build and optimize real-time vision software and integrate vision systems with wafer probers and automation equipment.
• Improve image acquisition and processing performance for high-speed, high-volume manufacturing environments.
• Evaluate and optimize inspection accuracy through testing, validation, and statistical performance analysis.
• Prepare and maintain Bill of Materials (BOM) and support engineering documentation.

Requirements

• Bachelor's or Master's Degree in Electrical Engineering, Computer Science, Optical Engineering, Robotics, or a related discipline.
• At least 5 years of experience in computer vision, machine vision, or Automated Optical Inspection (AOI) system development, preferably within the semiconductor or industrial automation industry.
• Strong programming skills in C++ or Python, with hands-on experience using computer vision libraries such as OpenCV, Halcon, or Matrox Imaging Library (MIL).
• Experience with deep learning frameworks such as PyTorch or TensorFlow for image analysis and defect classification.
• Good understanding of industrial optics, imaging systems, camera calibration, and illumination techniques.
• Experience integrating industrial cameras and vision hardware using GigE Vision, Camera Link, USB3 Vision, CoaXPress, or similar interfaces.
• Knowledge of semiconductor wafer inspection, wafer probers, GPU acceleration (CUDA, TensorRT), or related technologies is an advantage.