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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