Vision Engineer

1 week ago


Singapore Adecco Personnel Pte Ltd. Full time

An exciting new opportunity to work with the R&D team of a leading Semiconductor organisation. About the Role As a Computer Vision Engineer , you will design and implement advanced vision solutions that power high‐precision semiconductor manufacturing and automation. Your work will focus on cutting‐edge image processing, machine learning algorithms, and real‐time vision inspection systems to drive improvements in efficiency, yield, and product quality. Key Responsibilities Algorithm Development: Design, develop, and optimize computer vision algorithms for defect detection, feature recognition, and automation in semiconductor manufacturing. Deep Learning Integration: Implement and deploy deep learning‐based vision models for high‐speed, high‐accuracy inspection processes. System Integration: Integrate vision systems with robotics, automation platforms, and semiconductor backend equipment (e.g., wire bonders, die bonders). Image Processing: Develop and fine‐tune techniques for pattern recognition, object tracking, and quality inspection. Cross‐Functional Collaboration: Work closely with engineering, automation, and production teams to enhance real‐time vision inspection and improve yield. Performance Optimization: Conduct data analysis, model validation, and performance tuning to meet industry standards and optimize system latency, accuracy, and robustness. Requirements Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or related fields. Technical Expertise: Strong experience in computer vision, image processing, and machine learning. Proficiency in Python, C++, and frameworks such as OpenCV, TensorFlow, or PyTorch. Hands‐on experience with deep learning models (CNNs, GANs, Transformers) for vision tasks is a plus. Domain Knowledge: Familiarity with semiconductor automation, optical inspection, or metrology is advantageous. Hardware Acceleration: Knowledge of real‐time processing, embedded systems, and hardware acceleration (CUDA, FPGA, etc.) is a plus. Soft Skills: Strong analytical, problem‐solving, and communication skills. Interest & Application Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, etc.) and expected package and email to . We'd love to hear from you#J-18808-Ljbffr


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