MTB Defect Insight Engineer
Core
Develop AI/ML models and analytics for yield correlation, spatial signature analysis, defect density monitoring, and predictive excursion detection in semiconductor manufacturing.
Role type
Senior IC machine-learning engineer (semiconductor yield management)
Builds
Production ML models for defect inspection strategy, inline monitoring, and killer defect reduction
Domain
Semiconductor manufacturing / Data Analytics
Deliverable
production ML models
Required skills
Yield correlation analysis, Spatial signature analysis, Defect density monitoring, Process health dashboarding, AL/ML deployment, Predictive excursion detection, Defect inspection strategy, Inline defect monitoring, Defect pareto analysis, Defect source identification, Yield detractor elimination, Killer defect reduction
Preferred skills
AI-assisted tool integration, Continuous improvement culture, Digital fluency, AI literacy
Technologies
AL/ML frameworks, Data analytics platforms
Responsibilities
Integrate AI-assisted tools to improve efficiency and quality; Identify, test, and share AI-enabled enhancements; Apply digital fluency and AI literacy for research, analysis, and problem-solving.
Seniority
Senior, hands-on IC