Vision Engineer

ASMPT Singapore Pte Ltd; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading company in semiconductor manufacturing seeks a Computer Vision Engineer to develop advanced vision solutions. The role involves optimizing algorithms for defect detection and integrating vision systems into manufacturing processes, enhancing product quality and efficiency. Candidates should have a strong background in computer vision, image processing, and machine learning, along with programming skills in Python and C++. This role offers the opportunity to work in a dynamic environment focused on technological innovation.

Qualifications

• Experience in computer vision, image processing, and machine learning is essential.
• Familiarity with deep learning models (CNNs, GANs, Transformers) is a plus.
• Knowledge of real-time processing and embedded systems is advantageous.

Responsibilities

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

Skills

Computer Vision

Image Processing

Machine Learning

Data Analysis

Problem-Solving

Education

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

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.