
Vision Engineer
6 days ago
As a Computer Vision Engineer, you will develop and implement cutting-edge vision solutions for high-precision semiconductor manufacturing and automation. You will work on advanced image processing, machine learning algorithms, and real-time vision inspection systems to enhance process efficiency, yield, and product quality.
Key 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**:
Bachelor's or Master’s degree in Computer Science, Electrical Engineering, Robotics, or related fields.
- Strong analytical, problem-solving, and communication skills
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