Defectivity Quality Engineer — Yield & AI Insight

STMICROELECTRONICS PTE LTD; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

STMICROELELECTRONICS PTE LTD in Singapore seeks a defectivity specialist to analyze OOC lots, drive yield improvements, and perform defect source analysis for baseline enhancements.

You will lead sampling and control limits setup, troubleshoot alerts, and collaborate with process/equipment/quality teams on productivity programs. There is potential involvement in AI-based defect monitoring projects with CNN and deep learning.

Qualifications

• Degree in Material Science/Electrical/Electronics/Microelectronics/Mechanical/Physics/Chemistry.
• Preferred minimum 3 years working experience in semiconductor wafer fabrication.
• Fresh graduates are welcome to apply as well.

Responsibilities

• Identify and analyse OOC lots, defect Pareto, defect trend and characterization data to drive yield improvement.
• Perform defect characterization and defect source analysis for equipment or defectivity baseline improvement.
• Set up, optimize and maintain Defectivity Product sampling and control limits.
• Lead the troubleshooting of defectivity alert and involve in MRB for material assessment and disposition.
• Work with cross functional teams (process/equipment/device/quality) on Quality/Productivity improvement for defectivity.
• Opportunity to deploy Advanced Defectivity Monitoring system project involving AI, CNN and deep learning with DIT and cross-functional team.

Skills

Defectivity analysis

Cross-functional teamwork

Interpersonal skills

AI basics

Education

Material Science degree

Chemistry degree

Tools

Klarity Defects

AceXP

Space

Spotfire

Job description

STMICROELELECTRONICS PTE LTD in Singapore seeks a defectivity specialist to analyze OOC lots, drive yield improvements, and perform defect source analysis for baseline enhancements.

You will lead sampling and control limits setup, troubleshoot alerts, and collaborate with process/equipment/quality teams on productivity programs. There is potential involvement in AI-based defect monitoring projects with CNN and deep learning.