About the role
AI summarisedThis internship position focuses on supporting sputter equipment engineering teams through data engineering initiatives, including data extraction, visualization, and performance analysis within a semiconductor manufacturing environment.
IndustrialOnsiteEngineering Services
Key Responsibilities
- Support sputter equipment engineering teams by extracting and analyzing tool performance data
- Develop and maintain data pipelines to automate equipment health and efficiency monitoring
- Create visualization dashboards in Tableau or PowerBI to track RMO (Resource Management Office) metrics
- Assist in identifying patterns in equipment failure or maintenance cycles using statistical methods
- Collaborate with senior engineers to improve data-driven decision-making for PVD processes
- Document data workflows and standard operating procedures for equipment data management
Requirements
- Currently enrolled in an undergraduate or graduate degree program in Engineering, Data Science, or Computer Science
- Proficiency in programming languages such as Python or R for technical data analysis
- Familiarity with SQL for database querying and data manipulation
- Strong analytical and problem-solving skills with attention to detail
- Basic understanding of semiconductor manufacturing and Sputtering/PVD processes
- Ability to work effectively in a team-based industrial environment