Lico Resources, a specialist in Cybersecurity & Tech GRC
recruitment, is collaborating with a leading precision automation
company that plays a critical role in the advancement of
semiconductor manufacturing technologies. Known for their
high-performance systems and engineering excellence, this
organization drives innovation across complex inspection and
assembly solutions.
This is an exciting
opportunity for a technically driven Computer Vision Engineer to
develop next-generation vision and AI solutions for semiconductor
production. Based in Singapore, this role focuses on applying
advanced image processing, machine learning, and real-time analysis
to support defect detection, automated inspection, and process
optimization in high-throughput
environments.
Key
Responsibilities
Design and implement vision algorithms for automated
inspection, feature detection, and pattern recognition in
semiconductor backend processes.
Develop and
deploy deep learning-based models to enable high-speed,
high-accuracy vision systems.
Integrate vision
software with robotics, automation platforms, and precision
equipment such as die bonders and wire bonders.
Apply advanced image processing techniques for tasks
including object tracking, defect classification, and yield
improvement.
Collaborate with hardware,
software, and process engineering teams to ensure seamless
real-time integration across inspection systems.
Analyze performance data, validate models, and fine-tune
algorithms to meet production standards and operational
requirements.
Optimize system performance in
terms of detection accuracy, processing speed, and operational
reliability.
Contribute to the continuous
enhancement of vision frameworks to support scalability,
robustness, and deployment
readiness.
Qualifications
Essential :
Bachelor's or Master's degree in Computer Science,
Electrical Engineering, Robotics, or a related field.
Solid experience in computer vision, image analysis, and
applied machine learning.
Proficiency in
Python and C++, along with libraries such as OpenCV and frameworks
like TensorFlow or PyTorch.
Familiarity with
building and optimizing vision algorithms for high-throughput or
precision manufacturing
applications.
Preferred :
Experience with deep learning architectures such as CNNs,
GANs, or Transformer-based models applied to vision
tasks.
Exposure to semiconductor automation
systems or optical inspection tools.
Knowledge
of real-time processing techniques and hardware acceleration
technologies (e.g., CUDA, FPGA).
Strong
problem-solving mindset and the ability to communicate technical
concepts clearly across teams.
If
you are interested in this role, please send us your updated resume
today to nicole@licoresources.com quoting reference number A05548.
Please note that only shortlisted candidates will be
notified.
"Data provided is for recruitment
purposes only."
Job Reference No : A05548
EA Licence No. : 13C6733
EA Registration
No. : R1333454
Automation Engineer • Singapore