Yield Enhancement DRAM DA
Core
Characterize electrical data to identify device issues impacting yield and develop end-of-line performance predictions using machine learning for next-generation memory solutions.
Role type
Yield Analysis (DA) Engineer
Builds
Next-generation memory solutions (DRAM)
Domain
Semiconductor manufacturing / Memory
Deliverable
production ML models | dashboards & analysis
Required skills
Semiconductor processing knowledge, CMOS operation, memory cell operation, statistical analysis, data extraction and reporting, programming (Python, R, SQL, JavaScript), machine learning techniques
Preferred skills
Device physics knowledge, cross-functional team leadership, process improvement methodologies
Technologies
Python, R, SQL, JavaScript, Machine Learning, AI
Responsibilities
Analyze end-of-line test, parametric, and fab data to identify yield-impacting issues; Develop new tools for yield analysis and implement ML/AI techniques; Identify interactions between process modules to detect fail mechanisms; Use inline data to drive process improvements; Standardize methods to ensure consistent and repeatable processes; Lead or participate in multi-area focus teams to troubleshoot complex yield issues; Provide feedback on design and process issues to R&D teams; Support transfer of new parts from R&D to manufacturing sites
Seniority
Mid-Senior (5+ years experience required)