Computer Vision Engineer Semiconductor Inspection
1 day ago
(Job ID: )
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.
To apply, kindly send your updated resume to
We are regret that only shortlisted candidate will be notified.
However, rest assured that all applications will be updated to our resume
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