Semiconductor Vision Solutions Developer

3 days ago

Singapore beBeeComputerVision Full time
Role Overview
We are seeking an expert in computer vision and machine learning to design and implement next-generation vision and AI solutions for semiconductor production.
This is a unique opportunity for a technically driven professional to develop advanced image processing, machine learning, and real-time analysis capabilities to support defect detection, automated inspection, and process optimization in high-throughput environments.
The ideal candidate will have a strong background in computer vision, image analysis, and applied machine learning, with experience in building and optimizing vision algorithms for high-throughput or precision manufacturing applications.

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.

Required Skills and Qualifications

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.

Preferred:

  • 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.

This role offers the opportunity to work on cutting-edge technology and contribute to the development of innovative solutions that drive business growth and success.
Please note that only shortlisted candidates will be notified.

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