[Job ID: 1055553]
Responsibilities:
• Design, develop, and optimize computer vision algorithms for defect detection, feature recognition, and automation in semiconductor manufacturing.
• Implement deep learning-based vision models for high-speed and high-accuracy inspection processes.
• Integrate vision systems with robotics, automation platforms, and semiconductor backend equipment (e.g., wire bonders, die bonders).
• Develop and fine-tune image processing techniques for pattern recognition, object tracking, and quality inspection.
• Work closely with cross-functional teams to enhance real-time vision inspection and improve production yield.
• Conduct data analysis, model validation, and performance tuning to meet industry standards.
• Optimize vision system performance in terms of latency, accuracy, and robustness.
Requirements:
• Strong experience in computer vision, image processing, and machine learning.
• Proficiency in Python, C++, OpenCV, TensorFlow, or PyTorch for vision-related applications.
• Experience with deep learning models (CNNs, GANs, Transformers) for vision tasks is an added advantage.
• Familiarity with semiconductor automation, optical inspection, or metrology is advantageous.
• Knowledge of real-time processing, embedded systems, and hardware acceleration (CUDA, FPGA, etc.) is an added advantage.
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