Intern - Engineer HVM PEE PHOTO
Core
Develop an automated, data-driven framework for Non-Zero-Offset control in high-volume manufacturing photo processes using Python, statistics, and machine learning.
Role type
Intern, data engineering and analytics
Builds
Python-based analytical frameworks, statistical models, and automation prototypes for photo-process engineering
Domain
Semiconductor manufacturing (High-Volume Manufacturing Photo Process)
Deliverable
production ML models
Required skills
Python, statistical analysis, machine learning, data visualization, analytical thinking
Preferred skills
AI-assisted methods, familiarity with semiconductor metrology
Technologies
Python, machine learning, statistical modeling
Responsibilities
Analyze historical Non-Zero-Offset and metrology data to identify patterns and risks; Develop and evaluate statistical or machine-learning approaches for predicting behavior; Design and prototype automated logic flows and dashboards; Collaborate with engineering experts to validate results.
Seniority
Intern