Advanced Node Process and Yield Diagnostics Engineer, Staff
Core
Drive yield learning, process optimization, and root-cause analysis for leading-edge semiconductor technologies (3nm, 2nm) to accelerate yield ramp from NPI through HVM.
Role type
Staff IC yield diagnostics engineer (advanced node)
Builds
Production ML models | product features
Domain
Semiconductor manufacturing (Foundry/ASIC)
Deliverable
production ML models
Required skills
Semiconductor process technology, yield diagnostics, data analytics, statistical analysis, root-cause analysis, JMP, Yield Explorer, Python, SQL, Power BI
Preferred skills
Machine learning/AI for yield analytics, PCM structures, inline defect monitoring, foundry partnership experience, scan diagnosis
Technologies
JMP, Yield Explorer, Python, SQL, Power BI
Responsibilities
Perform process and yield diagnostics across wafer fabrication, sort, and test; Identify yield loss mechanisms using electrical test and defect data; Correlate process, product, and test data to determine root causes; Monitor yield performance and develop dashboards/KPIs; Support NPI activities through yield risk assessments; Develop predictive yield models for capacity planning.
Seniority
Staff, hands-on IC
