Computer Vision Engineer

ASMPT Ltd; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading technology company in Singapore is seeking a Computer Vision Engineer to develop cutting-edge vision solutions for semiconductor manufacturing. The role involves designing algorithms for defect detection, implementing deep learning models, and integrating vision systems with automation platforms. Candidates should have a Master's degree in Computer Science or related fields, along with strong experience in computer vision and proficiency in Python and C++. This position offers a chance to work on advanced technologies in a dynamic environment.

Qualifications

• Master's degree in a related field is required.
• Strong experience in computer vision and image processing.
• Proficiency in Python, C++, and related tools.

Responsibilities

• Design and develop computer vision algorithms for defect detection.
• Implement deep learning-based models for high-accuracy inspections.
• Integrate vision systems with automation platforms.

Skills

Computer vision

Image processing

Machine learning

Python

C++

OpenCV

TensorFlow

PyTorch

Education

Master’s degree in Computer Science, Robotics, Math, or Physics

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

• 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.