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Computer Vision Engineer

ASMPT Ltd

Singapore

On-site

SGD 70,000 - 110,000

Full time

9 days ago

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Job summary

Join a leading company in semiconductor manufacturing as a Computer Vision Engineer, where you will develop cutting-edge vision solutions. Your role will focus on creating advanced algorithms and integrating systems to enhance product quality and efficiency using state-of-the-art technologies.

Qualifications

  • Strong experience in computer vision and image processing.
  • Knowledge of deep learning models (CNNs, GANs).
  • Familiarity with semiconductor automation or optical inspection.

Responsibilities

  • Design and optimize computer vision algorithms for defect detection.
  • Implement deep learning models for inspection processes.
  • Integrate vision systems with automation platforms.

Skills

Computer Vision
Image Processing
Machine Learning
Problem-Solving
Analytical Skills

Education

Bachelor's or Master’s degree in Computer Science
Bachelor's or Master’s degree in Electrical Engineering
Bachelor's or Master’s degree in Robotics

Tools

Python
C++
OpenCV
TensorFlow
PyTorch

Job description

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:

  • Bachelor's or Master’s degree in Computer Science, Electrical Engineering, Robotics, or related fields.
  • 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.
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