stmicroelectronics pte ltd
Ang Mo Kio / Global
Ang Mo Kio / Global
YOUR ROLE
Investigate and drive root cause & problem solving for complex yield and integration issues with fast feedback and corrective action
Monitor and improve EWS zero yield and yield performance, and reduce scraps by correctly identifying root cause and putting in place CAPA to avoid re-occurrence
Provide timely lot disposition based on inline, defect, T84 and EWS data
Support capacity improvement by participating in qualification definition and report analysis preparation
Work on data correlation, analysis, and statistics, drawing data from all aspects (yield, parametric, SPC, defectivity, tool and process data for example FDC, process time, output parameters)
Setup smart manufacturing solution for data analytics and insights, drawing from a broad background of Big Data techniques in statistics, simulation, information technology, machine learning, data engineering etc to discover insightful patterns in semiconductor manufacturing data
Liaise with Division for product issue, improvement, new product transfer and development
Work with Process engineers and Division on new tool and process change qualification, and other improvement activities
Work with Customer Quality for ICC & ECC improvement
YOUR SKILLS & EXPERIENCES
Bachelor's degree in Electrical and Electronic Engineering (EEE), or a related engineering discipline
Good understanding of Device physics and Semiconductor Process Engineering
Good analytical and problem-solving skills with a keen eye to details
High degree of interpersonal skills and able to work both independently and with cross-functional teams
Good communication and project management skills
Ability to work in a fast-paced environment and meet tight timelines.
Singapore, Ang Mo Kio / Global
Ang Mo Kio / Global
Singapore / Global
Singapore / Global
Ang Mo Kio / Global
Singapore / Global