Defectivity & Yield Engineer (AI Monitoring)

STMicro; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

STMicroelectronics in Singapore is seeking a qualified engineer to identify OOC lots, perform defect characterization and lead defectivity improvement programs across process/equipment/quality teams. The role includes setting up sampling plans, monitoring control limits, and driving yield improvements through data-driven approaches.

You'll work with cross-functional teams and may participate in Advanced Defectivity Monitoring projects involving AI and CNN techniques, contributing to the

Qualifications

• Degree in Material Science/Electrical/Electronics/Microelectronics/Mechanical/Physics/Chemistry.
• Minimum 3 years working experience in semiconductor wafer fabrication; fresh graduates welcome.
• 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 tools will be an added advantage.
• Familiar with SPC concepts and other problem-solving tools: SPACE, FMEA, 8D, Data mining analysis and AI based on CNN will be advantageous.

Responsibilities

• 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 alerts 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.

Skills

Cross-functional leadership

Problem-solving

Data analysis

Independent / self-driven

Education

Bachelor’s degree in Material Science/Electrical/Electronics/Microelectronics/Mechanical/Physics/Chemistry

Tools

Klarity Defects

AceXP

Space

Spotfire

CNN/AI tooling

Job description

STMicroelectronics in Singapore is seeking a qualified engineer to identify OOC lots, perform defect characterization and lead defectivity improvement programs across process/equipment/quality teams. The role includes setting up sampling plans, monitoring control limits, and driving yield improvements through data-driven approaches.

You'll work with cross-functional teams and may participate in Advanced Defectivity Monitoring projects involving AI and CNN techniques, contributing to the