数据库/建模工程师(芯片平台) - 芯片研发
Core
Build data models and databases to support physical design optimization, decision-making, and trend prediction for chip design processes.
Role type
Data modeling engineer (chip platform)
Builds
Data-driven capabilities for physical design flow optimization and automation
Domain
Semiconductor / Chip Design / EDA
Deliverable
production ML models
Required skills
Python, statistical modeling, regression analysis, feature engineering, data visualization, optimization modeling
Preferred skills
EDA data modeling, semiconductor process data modeling, machine learning algorithms, MATLAB/R
Technologies
Python, MATLAB, R
Responsibilities
Model and analyze physical design data to support design flow optimization; Clean data and perform feature engineering to extract patterns for parameter optimization; Integrate data modeling capabilities into automated physical design workflows.