As a Vision Systems Engineer 4 within the Equipment Intelligence team in the Deposition Group, you will design, develop, and deploy computer vision algorithms for detection, classification, segmentation, anomaly detection, and predictive analytics. You will manage the full data science lifecycle, including data collection, labeling, feature engineering, model training, and deployment to improve yield and process stability. The role involves building scalable machine learning and deep learning models using image, video, and multimodal sensor data while developing robust image-processing pipelines. You will utilize Python, C/C++, OpenCV, TensorFlow, or PyTorch, alongside cloud platforms like Azure, AWS, or GCP. This position addresses complex industrial manufacturing challenges by transforming sensor data into actionable insights to enhance product quality and equipment performance within the semiconductor manufacturing domain through advanced AI-driven imaging and analytics initiatives.
System Architecture
Data Acquisition
Industrial Communication Protocols
Ethernet
Fieldbus
Serial Interfaces
Predictive Maintenance
AI
ML
Signal Conditioning
Reliability Engineering
Systems Engineering