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.