Computer Vision Engineer

2 weeks ago

Singapore LICO RESOURCES PTE. LTD. Full time

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 quoting reference number A05548. Please note that only shortlisted candidates will be notified. "Data provided is for recruitment purposes only." Job Reference No: A05548EA Licence No.: 13C6733EA Registration No.: R

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