Product Development Engineer
Core
Designing, developing, deploying, and maintaining data extraction, analysis, visualization, and reporting tools for the DRAM Product Group to support inventory, yield, quality, and performance forecasting.
Role type
Product Development Engineer (Data Systems & Analytics)
Builds
Data analysis tools, visualization dashboards, and forecasting metrics for semiconductor product teams
Domain
Semiconductor manufacturing and data analytics
Deliverable
production ML models | dashboards & analysis
Required skills
Python programming, data analysis and visualization, SQL (MySQL/MSSQL) with schema design and optimization, Google Cloud Platform, Pandas, NumPy, Scikit-learn, Git version control, unit testing, DevOps methodologies, data science algorithms, machine learning techniques
Preferred skills
User training and support, documentation creation, ad-hoc support for custom data extraction needs
Technologies
Python, Matplotlib, Tableau, JMP, High-charts, MySQL, MSSQL, Google Cloud Platform, Git, Pandas, NumPy, Scikit-learn
Responsibilities
Designing and developing new tools and metrics/KPIs for industry leadership; maintaining existing tools with user training and support; debugging and new feature development; serving as a point-of-contact for data systems and infrastructure; assisting teams in assessing inventory, yield, quality, and reliability to create forward-looking forecasts; supporting custom data extraction needs for Data Science partners
Seniority
Mid-level, hands-on IC
