Intern - Data Analytics & Process Optimization
Core
Intern applying photolithography fundamentals, data science, statistics, and machine learning to enable breakthroughs in advanced semiconductor process development.
Role type
Intern - Data Analytics & Process Optimization
Builds
Analytical models and predictive tools for semiconductor lithography process accuracy and characterization
Domain
Semiconductor manufacturing / Photolithography / Data Science
Deliverable
production ML models
Required skills
photolithography fundamentals, statistical analysis, machine learning, data correlation, SPC concepts, Six Sigma methodologies, lithography simulation tools, material characterization
Preferred skills
immersion optics, polarized illumination, low-k1 imaging, Python or R
Technologies
Python, R, lithography simulation tools
Responsibilities
Analyze large-scale semiconductor datasets to identify trends and process sensitivities, develop predictive models using ML or advanced analytics, apply statistical methods to evaluate process performance, create validated analytical models to improve process accuracy, generate reports and visualizations summarizing findings for engineering teams
Seniority
Intern