Micron
Intern - Realtime Defect Analysis (RDA) Yield Technology
Boise, ID - Main Site · Internship · Posted Aug 24, 2026
- Education
- Currently pursuing a Bachelor’s or Master’s degree in Electrical Engineering, Chemical Engineering, Materials Science & Engineering, or a related technical field.
About the job
Supports DRAM research and manufacturing by analyzing defects and process data, investigating root causes, and improving yield and process performance.
What you'll do
- Analyze process-flow and defect-inspection data, identify anomalies, investigate root causes, and support corrective actions.
- Collaborate with R&D and manufacturing teams on defect detection, yield improvement, and process monitoring.
- Apply AI, analytics, statistical methods, and DOE to improve detection and analysis; present findings and recommendations.
What they ask for
- Currently pursuing a bachelor’s or master’s degree in Electrical Engineering, Chemical Engineering, Materials Science & Engineering, or a related technical field.
- Demonstrated problem-solving and analytical skills through coursework, research, projects, or internships.
- Fundamental understanding of statistics and experimental analysis, including DOE concepts.
- Effective English communication skills and ability to work independently and collaboratively.
Nice to have
- Data analysis, scripting, or programming experience with Python, SQL, JMP, or similar tools.
- Familiarity with semiconductor fabrication, defect inspection, manufacturing, AI, analytics, or automation.
Tools
Python, SQL, JMP, Design of Experiments (DOE)
AI focus
Use AI and data analytics to accelerate defect detection, identify yield-impacting trends, automate routine analysis, and generate actionable insights.
Model-written summary · the original posting is authoritative