The board
Micron- Hours
- Full time
- Where
- Boise, ID - Main Site
- Posted
- Aug 25
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
The Realtime Defect Analysis (RDA) Yield Technology team supports advanced DRAM research and development by identifying, analyzing, and reducing manufacturing defects that impact yield and product performance. The team partners closely with engineers across R&D and High Volume Manufacturing to improve process stability, accelerate learning cycles, and drive continuous improvement through data-driven decision making.
As an RDA Yield Technology Intern, you will gain hands-on experience with innovative semiconductor processing, defect inspection systems, and advanced analytical techniques.
What you'd do
- Analyze experimental process flows and defect inspection data to identify anomalies, investigate root causes, and support corrective actions.
- Partner with R&D and manufacturing teams to improve yield performance through defect detection, process monitoring, and continuous improvement initiatives.
- Leverage Artificial Intelligence (AI) and data analytics tools to accelerate defect detection, identify yield-impacting trends, automate routine analysis workflows, and generate actionable insights.
- Use inline defect signals, statistical analysis, and Design of Experiments (DOE) methodologies to drive process improvements and earlier detection of manufacturing issues.
- Present technical findings, recommendations, and project results in team meetings and engineering reviews.Minimum Qualifications
- 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 methods, including DOE concepts.
- Effective verbal and written English communication skills with the ability to present technical information clearly.
- Ability to work independently and collaboratively in a fast-paced engineering environment.Preferred Qualifications
- Starts
- 2026-08-24