Develop, validate and deploy product-disposition solutions (wormhole) to ensure quality and reduce Defects Per Million (DPM) through a comprehensive product disposition program/workflow.
Utilize in‑house statistical tools, machine learning, and AI for engineering data analysis to enhance yields and reliability, integrating these improvements within the Dispo workflow.
Create a deviation alert system to monitor yield loss, characteristic/parameter trends, and wafer/die/cube shading.
Develop state‑of‑the‑art algorithms, including Machine Learning and Deep Learning models, to advance data mining and pattern recognition for quality enhancement, yield improvement, wafer/die level screening and efficiency enhancement.
Actively mentor and develop team members to foster growth and development within the team and the organization.
Work closely with cross‑functional teams—including Fab, HBM Technology Development, H...