Principal / Senior Engineer, Data Analytics & Management, Technical Operations Management
Core
Drive manufacturing intelligence, test analytics, quality screening, and analytics platform development across the semiconductor product lifecycle.
Role type
Principal / Senior Engineer, Data Analytics & Management
Builds
Manufacturing analytics platforms, automated data solutions, and operational tools for semiconductor testing and quality.
Domain
Semiconductor manufacturing / Test Operations / Data Analytics
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Semiconductor data analytics, outlier detection (PAT, SBL, clustering), data infrastructure setup, STDF/ATDF/MES experience, yield analysis, statistical process control (SPC), digital transformation leadership
Preferred skills
Python, SQL, Power BI, Databricks, JMP, VBA, ATE test operations knowledge, NPI/qualification support
Technologies
Databricks, JMP, Power BI, Tableau, SQL, Python, VBA, STDF, ATDF, MES
Responsibilities
Own test analytics strategy for Wafer Sort, Burn-In, and Final Test; Develop advanced analytics for yield learning and quality monitoring; Define analytics platform roadmap and governance; Integrate foundry/OSAT systems and standardize data flows; Design and manage manufacturing data ecosystems and ETL pipelines; Develop automation solutions to improve engineering productivity.
Seniority
Principal / Senior, hands-on IC with strategic ownership
