Job Description
Key Responsibilities
- Machine Learning & Advanced Analytics Development:
- Develop and deploy predictive and diagnostic ML models for yield improvement, test time reduction (TTR), cost optimization, NAND reliability analysis, and qualification.
- Apply advanced ML techniques on large‑scale structured semiconductor datasets, including wafer fab inline data, probe data, and test data.
- Build, validate, and maintain end‑to‑end ML workflows supporting NPI and HVM decision‑making.
- Use data‑driven methods to support root cause analysis of yield, reliability, and defectivity issues.
- Agentic AI & Engineering Automation:
- Design and implement agentic AI solutions to automate Product Engineering workflows (e.g., yield and reliability analysis, test program validation and screening optimization, engineering report generation and data summarization).
- Integrate AI agents with enterprise and engineering systems (e.g., JIR...