2021-16574 – Defectivity, Process Control Engineer M/F

  • CDI
  • N'importe où
  • Publié il y a 4 semaines

Regular/Temporary : Regular
Position description :
• Responsible for setting up, optimizing and maintaining Defectivity control plan.
• Responsible for identifying and analyzing OOC lots and characterization of data to determine the source of defect and drive for defectivity baseline improvement.
• To perform defect characterization and defect source analysis for technology yield improvement and customer quality satisfaction.
• To work closely with cross functional teams (Process/Equipment/Device/Quality) on Quality/Productivity improvement program and to formulate/implement robust technical enhancement solutions for Defectivity baseline/issue improvement activities.
• To drive cross functional team on Defectivity/Quality/Productivity improvement taskforce.
• Defectivity inspection tool recipe creation and management.
• Opportunity to be part of a dynamic team in the deployment of Advanced Defectivity Monitoring system involving AI using Convolution Neural Network (CNN) and deep learning.

• Degree in Material Science/Electrical/Electronics/Microelectronics/Mechanical/Physics/Chemistry.
• Preferred minimum 3 years working experience in semiconductor wafer fabrication industry and good knowledge in Defectivity methodology and knowledge of Defectivity inspection tool. Fresh graduate are welcomed to apply as well.
• Ability to lead and participate in cross functional problem-solving teams and with good interpersonal skills.
• Knowledge in Klarity Defects/AceXP/Spotfire and other Defectivity related tool will be an added advantage.
• Familiar with SAPCE, SPC concept and other problem-solving tools: FMEA, 8D, Data mining analysis and AI base on Convolution Neural Network (CNN) will be advantageous.
• Self-driven and independent with an inquisitive mind.
Education level required : 4 – Bachelor degree
Language / Level :
English : 3- Advanced
Language / Level :
Chinese (Mandarin) : 2- Business fluent


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