About the role
AI summarisedThis internship at Micron Technology focuses on applying data analytics and AI-based modeling to wet etch and wet clean processes in advanced memory fabrication. The intern will develop models, design experiments, analyze data, and provide process optimization recommendations within the New Technology Introduction organization.
IDMFull-timeSTPG
Key Responsibilities
- Development and optimization of data‑driven and AI‑based models for wet etch and wet clean processes
- Identification of process margins and potential failure modes during technology learning phases
- Planning and execution of design of experiments (DOE) to generate structured datasets
- Analysis of experimental data using critical dimension (CD) measurements, scanning electron microscopy (SEM), and other wet process characterization techniques
- Evaluation of model accuracy through correlation of predictions with experimental outcome
- Exploration of process enhancement opportunities to meet defined structural and electrical criteria
Requirements
- Strong analytical and logical problem‑solving ability
- Basic knowledge or interest in data analytics, modeling, or machine learning techniques
- Familiarity with experimental data analysis and interpretation
- Clear written and verbal communication skills
- Ability to manage multiple technical tasks within a structured project environment
- Candidates must be currently pursuing a full‑time undergraduate degree in Chemical Engineering, Materials Science and Engineering, Electrical Engineering, or Mechanical Engineering
- Minimum 5 months, Semester Internship: August 2026 to December 2026