Photolithography Process Intern — AI-Driven R&D

Micron Technology, Inc.; Boise (ID); On-site; USD 28,000 - 44,000; Part time

Benefits offered by this job

Medical/Dental/Vision plans

Paid time off

Paid holidays

Job summary

Micron Technology, Inc. in Boise, Idaho invites applications for an Intern - Photolithography Process.

You will design and execute experiments in a semiconductor cleanroom, plan runs, document results, and collaborate across photolithography and metrology teams to optimize EUV lithography, photoresist performance, and CDU/overlay improvements. The internship emphasizes data-driven approaches, AI-enabled analysis, and opportunities to present findings.

Qualifications

• Pursuing an MS or PhD in Chemical Engineering, Chemistry, Physics or related field.
• Enrolled in an academic program through Fall 2027.
• Analytical and problem-solving skills demonstrated in coursework or projects.
• Ability to work independently and collaborate in a team.

Responsibilities

• Design and execute experiments (DOE) to optimize photolithography processes.
• Plan, run, and document experiments in a cleanroom with advanced equipment.
• Analyze process images and data using software tools, including AI approaches.
• Support projects on simulations, window optimization, overlay, CDU performance.
• Communicate plans, findings, and recommendations in reports and presentations.

Skills

Analytical skills

Problem-solving

Independent working

Team collaboration

Communication skills

Data analysis

Education

MS or PhD in Chemical Engineering, Chemistry, Physics, or related field

Tools

AI-enabled tools

Python

Data analysis software

Job description

Micron Technology, Inc. in Boise, Idaho invites applications for an Intern - Photolithography Process.

You will design and execute experiments in a semiconductor cleanroom, plan runs, document results, and collaborate across photolithography and metrology teams to optimize EUV lithography, photoresist performance, and CDU/overlay improvements. The internship emphasizes data-driven approaches, AI-enabled analysis, and opportunities to present findings.