Job Description
Key Responsibilities
- 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 various cross-functional teams, including Fab, HBM Technology Devel...