Micron
Intern - Process Development Engineer, Planar DRAM CMP
Boise, ID - Main Site · Internship · Posted Aug 24, 2026
- Experience
- No specific number of years stated.
- Education
- Currently pursuing an M.S. or Ph.D. in Chemical Engineering, Chemistry, Materials Science, or a related STEM field; expected graduation after September 2027.
About the job
Develop and optimize Chemical Mechanical Polishing (CMP) processes, chemistries, and hardware platforms for future semiconductor technology nodes using experimentation, characterization, data analysis, and AI-enabled tools.
What you'll do
- Collaborate with engineering teams to develop and evaluate CMP processes, chemistries, and hardware platforms.
- Conduct research, process characterization, and data analysis to support process development and optimization.
- Use AI-enabled tools and present technical reports, results, and recommendations to engineering and research teams.
What they ask for
- Currently pursuing an M.S. or Ph.D. in Chemical Engineering, Chemistry, Materials Science, or a related STEM field, with expected graduation after September 2027.
- Demonstrated academic or research experience in a STEM field, with strong verbal and written communication skills.
- Ability to work independently with minimal supervision while managing multiple priorities and deadlines.
- Working knowledge of at least one of: organic chemistry, inorganic chemistry, surface chemistry, electrochemistry, or materials science.
Nice to have
- Knowledge of integrated circuit processing, semiconductor manufacturing, and semiconductor device fundamentals.
- Prior CMP experience, or experience applying AI tools or building or using AI-enabled applications, agents, or LLMs in research or engineering.
Tools
Chemical Mechanical Polishing (CMP), Microsoft Copilot, Large Language Models (LLMs)
AI focus
Use AI-enabled and AI-assisted tools to analyze experimental data, improve workflow efficiency, and support research and process-development decisions; preferred experience includes AI applications, agents, and LLMs.
Model-written summary · the original posting is authoritative