Computer Vision Engineer

As a
Computer Vision Engineer
at ASMPT Singapore, 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:

• Master's degree in
  Computer Science/Engineering, Robotics, Math, Physics or related fields
  . Bachelor's degree holders should have research experience in machine vision related projects.
• 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 a plus.
• Familiarity with
  semiconductor automation, optical inspection, or metrology
  is advantageous.
• Knowledge of
  real-time processing, embedded systems, and hardware acceleration (CUDA, FPGA, etc.)
  is a plus.
• Strong analytical, problem-solving, and communication skills.