AI-Driven Semiconductor Process Intern

Micron Technology

Boise (ID)

On-site

USD 41,000 - 55,000

Full time

14 days+
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Job summary

Micron Technology is offering an internship focused on 3D DRAM materials and process development in Idaho. You will work with engineers on impactful projects, gain hands-on semiconductor training, and contribute to future product development while presenting findings to engineering leadership and the team.

The role emphasizes experimental design, data analysis, and using AI tools to improve processes, with collaboration across different disciplines and direct exposure to manufacturing technology.

Qualifications

  • Currently enrolled in a Ph.D. program, or equivalent advanced degree program.
  • Must not graduate before September 2027.
  • Experience with experimental design, data analysis, and interpretation of technical results.
  • Strong analytical and problem‑solving skills with root‑cause analysis or model‑based approaches.

Responsibilities

  • Develop and optimize semiconductor processes to meet product requirements.
  • Partner with multi-functional process and equipment engineering teams to identify improvements.
  • Perform root‑cause analyses and experimental investigations to address process challenges.
  • Analyze statistical data from pilot-scale technology development lines and present findings in reports.
  • Apply AI tools to enhance data analysis, process optimization, and productivity.

Skills

Experimental design
Data analysis
Root-cause analysis
Problem solving
Independent work

Education

PhD in Materials Science/Chemical Engineering/Physics/Related field

Tools

Python
MATLAB
R

Job description

Micron Technology is offering an internship focused on 3D DRAM materials and process development in Idaho. You will work with engineers on impactful projects, gain hands-on semiconductor training, and contribute to future product development while presenting findings to engineering leadership and the team.

The role emphasizes experimental design, data analysis, and using AI tools to improve processes, with collaboration across different disciplines and direct exposure to manufacturing technology.

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