AI-Driven Semiconductor Process Intern

Micron Technology, Inc; Boise (ID); On-site; USD 27,000 - 36,000; Full time

Job summary

Micron Technology, Inc in Boise, ID is offering a PhD internship focused on semiconductor process development. You will develop and optimize processes, work with cross-functional teams, and apply data analysis and AI-assisted methods to improve manufacturing outcomes.

This role emphasizes experimental design, root-cause analysis, and communicating findings to engineering leadership. Enrollment in a PhD program and not graduating before Sept 2027 are required, with strong analytical and

Qualifications

• Currently enrolled in a Ph.D. program in a technical field.
• Must not graduate before September 2027.
• Experience with experimental design, data analysis and interpretation of results.
• Strong analytical and problem-solving skills with root-cause or model-based approaches.
• Ability to manage multiple priorities independently with minimal supervision.

Responsibilities

• Develop and optimize semiconductor processes to meet product requirements.
• Partner with multi-functional process and equipment teams to implement improvements.
• Perform root-cause analysis and experimental investigations.
• Analyze statistical data and communicate findings through reports and presentations.
• Apply AI and AI-assisted tools to enhance data analysis and productivity.

Skills

Experimental design

Data analysis

Problem-solving

Multitasking

Communication

Education

PhD student in Materials Science / Chemical Engineering / Chemistry / Physics

Enrollment and not graduating before Sept 2027

Tools

Python

MATLAB

R

Statistical software

Job description

Micron Technology, Inc in Boise, ID is offering a PhD internship focused on semiconductor process development. You will develop and optimize processes, work with cross-functional teams, and apply data analysis and AI-assisted methods to improve manufacturing outcomes.

This role emphasizes experimental design, root-cause analysis, and communicating findings to engineering leadership. Enrollment in a PhD program and not graduating before Sept 2027 are required, with strong analytical and