Defectivity Engineer, Quality

The Job

• Responsible for identifying, analysing OOC lots, Defect Pareto, defect trend and characterization data to determine the source of defect and drive for yield improvement.
• Perform defect characterization and defect source analysis for equipment or defectivity baseline improvement.
• Responsible for setting up, optimizing and maintaining Defectivity Product sampling and control limits.
• Lead the troubleshooting of defectivity alert and involve in Material Review Board for material assessment and disposition.
• To work closely with cross functional teams (process/equipment/device/quality) on Quality/Productivity improvement Programme for defectivity improvement activities.
• Opportunity to involve in deployment of Advanced Defectivity Monitoring system project involving AI, Convolution Neural Network (CNN) and deep learning with DIT and cross-functional team,

Requirements

• 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 is 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/Space/Spotfire and other Defectivity related tool will be an added advantage.
• Familiar with SPC concept and other problem-solving tools: SPACE, FMEA, 8D, Data mining analysis and AI base on Convolution Neural Network (CNN) will be advantageous.
• Self-driven and independent with an inquisitive mind.