Vision Engineer

As aComputer Vision Engineer, you will design and implement advanced vision solutions that power high-precision semiconductor manufacturing and automation. Your work will focus on cutting-edge image processing, machine learning algorithms, and real-time vision inspection systems to drive improvements in efficiency, yield, and product quality.

• Algorithm Development:Design, develop, and optimize computer vision algorithms for defect detection, feature recognition, and automation in semiconductor manufacturing.
• Deep Learning Integration:Implement and deploy deep learning-based vision models for high-speed, high-accuracy inspection processes.
• System Integration:Integrate vision systems with robotics, automation platforms, and semiconductor backend equipment (e.g., wire bonders, die bonders).
• Image Processing:Develop and fine-tune techniques for pattern recognition, object tracking, and quality inspection.
• Cross-Functional Collaboration:Work closely with engineering, automation, and production teams to enhance real-time vision inspection and improve yield.
• Performance Optimization:Conduct data analysis, model validation, and performance tuning to meet industry standards and optimize system latency, accuracy, and robustness.

Requirements

• Education:Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or related fields.
• Technical Expertise:Strong experience in computer vision, image processing, and machine learning.
• Proficiency in Python, C++, and frameworks such as OpenCV, TensorFlow, or PyTorch.
• Hands-on experience with deep learning models (CNNs, GANs, Transformers) for vision tasks is a plus.
• Domain Knowledge:Familiarity with semiconductor automation, optical inspection, or metrology is advantageous.
• Hardware Acceleration:Knowledge of real-time processing, embedded systems, and hardware acceleration (CUDA, FPGA, etc.) is a plus.
• Soft Skills:Strong analytical, problem-solving, and communication skills.