DRAM Thin Films Process Engineer Intern - AI-Driven

Micron Technology, Inc.

Boise, Northern (ID, KY)

Hybrid

USD 20,000 - 33,000

Full time

10 days ago
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Job summary

Micron Technology, Inc. in Boise, Idaho, is seeking an Intern - Process Development Engineer (DRAM Thin Films).

You will work with senior engineers on a summer project focused on semiconductor process development and optimization, gaining hands-on experience with experimental design, data analysis, and cross-functional collaboration. The role emphasizes applying AI-enabled tools, statistical methods, and data science to improve thin film processes, with opportunities to present results to

Qualifications

  • Currently pursuing a Ph.D. in Materials Science or Chemical Engineering.
  • Experience with semiconductor processing, thin films, or related manufacturing technologies.
  • Experience crafting experiments, data analysis, statistics, or problem-solving.
  • Interest in AI, machine learning, or digital engineering to improve workflows.
  • Strong communication and collaboration skills.

Responsibilities

  • Research and develop innovative solutions for next‑generation memory and thin film processes.
  • Design, perform, and analyze experiments to improve process performance and product quality.
  • Apply statistical analysis and AI-enabled tools to identify trends and optimize decisions.
  • Collaborate with process, equipment, and integration teams to support development.
  • Communicate objectives and results through reports and presentations.

Skills

Analytical thinking
Communication
Collaboration

Education

Ph.D. in Materials Science or Chemical Engineering

Tools

Python
MATLAB
JMP
Data Visualization tools

Job description

Micron Technology, Inc. in Boise, Idaho, is seeking an Intern - Process Development Engineer (DRAM Thin Films).

You will work with senior engineers on a summer project focused on semiconductor process development and optimization, gaining hands-on experience with experimental design, data analysis, and cross-functional collaboration. The role emphasizes applying AI-enabled tools, statistical methods, and data science to improve thin film processes, with opportunities to present results to

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