Product Yield & Analytics PYAi Engineer
Core
Applying data science, software engineering, and advanced analytics to semiconductor manufacturing data to improve yield, quality, and reliability of memory products.
Role type
Senior IC data science and product yield analytics engineer
Builds
Predictive models, engineering software tools for defect analysis (ESDA), and analytics platforms for manufacturing feedback
Domain
Semiconductor manufacturing / Memory products / Data science
Deliverable
production ML models | product features | infrastructure
Required skills
Statistics, machine learning, semiconductor physics, large-scale data engineering, programming, defect analysis methodologies
Preferred skills
Memory product engineering experience, test/build/yield improvement, software development, complex manufacturing data analysis
Technologies
ESDA system, machine learning frameworks, data engineering tools
Responsibilities
Expand ESDA capabilities to improve yield and product reliability; Develop yield, defect matching, and modeling methods; Create and maintain engineering software tools for ESDA analytics; Collaborate with design and failure analysis teams to optimize redundancy and compression; Support next-generation memory devices through advanced analytics
Seniority
Senior, hands-on IC