Visual Systems Engineer

Focal Search Pte Ltd; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A leading technology recruitment firm is on the lookout for an expert in computer vision to design and enhance algorithms for identifying defects in semiconductor manufacturing. The ideal candidate will hold a Bachelor's or Master's in Computer Science, possess a solid background in image analysis and machine learning, and be skilled in programming with Python and C++. This role offers the chance to work in a dynamic team environment focused on automation and production yield improvements.

Qualifications

• Solid background in computer vision and image analysis.
• Experience in machine learning techniques.
• Hands-on experience with deep learning architectures is a strong asset.

Responsibilities

• Design and enhance computer vision algorithms for defect identification.
• Develop and deploy deep learning models for inspection tasks.
• Integrate vision technologies with robotic systems.

Skills

Computer vision algorithms

Image analysis

Machine learning techniques

Python

C++

OpenCV

TensorFlow

PyTorch

Analytical thinking

Problem-solving

Education

Bachelor's or Master's in Computer Science, Electrical Engineering, or Robotics

Job description

• Design and enhance computer vision algorithms for identifying defects, recognizing features, and driving automation in semiconductor manufacturing processes.
• Develop and deploy deep learning-based models to enable fast, precise inspection tasks.
• Integrate vision technologies with robotic systems, automation platforms, and backend semiconductor tools such as wire bonders and die bonders.
• Create and refine image processing methods for tasks like pattern detection, object localization, and quality control.
• Collaborate with multidisciplinary teams to advance real-time vision inspection systems and support production yield improvements.
• Perform data analysis, validate model performance, and adjust parameters to comply with industry benchmarks.
• Optimize vision system efficiency by minimizing latency and maximizing accuracy and reliability.

Requirements of the role:

• A Bachelors or Masters degree in Computer Science, Electrical Engineering, Robotics, or a closely related discipline.
• Solid background in computer vision, image analysis, and machine learning techniques.
• Skilled in developing vision applications using Python, C++, and libraries such as OpenCV, TensorFlow, or PyTorch.
• Hands-on experience with deep learning architectures (e.g., CNNs, GANs, Transformers) is a strong asset.
• Experience or familiarity with semiconductor manufacturing, optical inspection systems, or metrology is beneficial.
• Understanding of real-time computing, embedded platforms, and hardware-accelerated processing (e.g., CUDA, FPGA) is desirable.
• Excellent analytical thinking, problem-solving abilities, and effective communication skills.