
Semiconductor Vision Expert
18 hours ago
Job Opportunity: Advanced Vision Solutions Specialist
Job Description:
We are seeking a skilled Computer Vision Engineer to develop next-generation vision and AI solutions for semiconductor production. This role focuses on applying advanced image processing, machine learning, and real-time analysis to support defect detection, automated inspection, and process optimization in high-throughput environments.
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field.
- Solid experience in computer vision, image analysis, and applied machine learning.
- Proficiency in Python and C++, along with libraries such as OpenCV and frameworks like TensorFlow or PyTorch.
- Familiarity with building and optimizing vision algorithms for high-throughput or precision manufacturing applications.
- Design and implement vision algorithms for automated inspection, feature detection, and pattern recognition in semiconductor backend processes.
- Develop and deploy deep learning-based models to enable high-speed, high-accuracy vision systems.
- Integrate vision software with robotics, automation platforms, and precision equipment such as die bonders and wire bonders.
- Apply advanced image processing techniques for tasks including object tracking, defect classification, and yield improvement.
- Collaborate with hardware, software, and process engineering teams to ensure seamless real-time integration across inspection systems.
- Analyze performance data, validate models, and fine-tune algorithms to meet production standards and operational requirements.
- Optimize system performance in terms of detection accuracy, processing speed, and operational reliability.
- Contribute to the continuous enhancement of vision frameworks to support scalability, robustness, and deployment readiness.
This is an exciting opportunity for a technically driven individual to drive innovation and advancement in semiconductor manufacturing technologies.
If you are interested in this role, please send us your updated resume today quoting reference number A05548.
Only shortlisted candidates will be notified.
EA Licence No.: 13C6733
EA Registration No.: R
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