Computer Vision Engineer

Your new company Semiconductor industryYour new role Design and optimize vision algorithms for defect detection, feature recognition, and semiconductor automation processes.Develop deep learning-based models for high-speed, high-accuracy inspection to improve manufacturing efficiency.Integrate vision systems with robotics and backend semiconductor equipment for seamless automation workflows.Enhance image processing techniques for pattern recognition, object tracking, and real-time quality inspection.Collaborate cross-functionally to validate models, analyze data, and optimize vision system performance standards.What you'll need to succeed Bachelor’s degree in Computer Science, or related fields.Strong expertise in computer vision, image processing, machine learning, and deep learning models for vision tasks.Proficiency in Python, C++, OpenCV, TensorFlow, PyTorch; familiarity with real-time processing and hardware acceleration.Knowledge of semiconductor automation, optical inspection, metrology, and strong analytical, problem-solving, communication skills.What you'll get in return In return, you'll be part of an organization that values its employees. You’ll be rewarded with:Structured career growth and plenty of developmental opportunitiesStable working environmentWhat you need to do now If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology, contact Yuki Cheung or email yuki.cheung@hays.com.sg. Referrals are welcome.At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse backgrounds to apply.EA Reg Number: R22110258 | EA License Number: 07C3924 | Company Registration No: 200609504D