Computer Vision Engineer
3 days ago
This is an exciting opportunity for a technically driven Computer Vision Engineer to develop next-generation vision and AI solutions for semiconductor production. Based in Singapore, 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.
Key Responsibilities
- 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.
Essential:
- 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.
- Experience with deep learning architectures such as CNNs, GANs, or Transformer-based models applied to vision tasks.
- Exposure to semiconductor automation systems or optical inspection tools.
- Knowledge of real-time processing techniques and hardware acceleration technologies (e.g., CUDA, FPGA).
- Strong problem-solving mindset and the ability to communicate technical concepts clearly across teams.
"Data provided is for recruitment purposes only."
Job Reference No: A
EA Licence No.: 13C6733
EA Registration No.: R
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