Wet-Process Development Engineer Intern (PhD)

Micron Technology, Inc; Boise (ID); On-site; USD 34,440 - 48,216; Full time

Job summary

Micron Technology, Inc. in Boise, Idaho, invites you to join as a 3D DRAM Wet Process Engineering Intern, gaining hands-on experience in semiconductor process development alongside experienced engineers. You will analyze manufacturing and experimental data, contribute to technology development, and present findings.

This role emphasizes data analytics and AI-driven approaches to improve processes. Ideal candidates are PhD students in related fields and can commit until September 2027, with

Qualifications

• Current Ph.D. student in a related technical field; must not graduate before September 2027.
• Experience with experimental design and data analysis.
• Strong analytic and quantitative skills for root-cause analysis.
• Ability to manage multiple priorities with minimal supervision.
• Excellent written and verbal communication and presentation skills.

Responsibilities

• Develop and optimize wet process technologies to meet product performance requirements.
• Collaborate with cross-functional process and equipment engineering teams to identify and implement process improvements.
• Perform root‑cause analysis and failure‑mode investigations to resolve constraints and improve yield and performance.
• Analyze experimental and manufacturing data using statistical methods to support technology development decisions.
• Apply Artificial Intelligence and data‑driven approaches to enhance process analysis, problem‑solving, and engineering productivity.

Skills

Data analysis

Statistical methods

Experiment design

AI-enabled data analysis

Python scripting

Education

PhD candidate in Materials Science, Chemical Engineering, Chemistry, Physics (not graduating before Sep 2027)

Job description

Micron Technology, Inc. in Boise, Idaho, invites you to join as a 3D DRAM Wet Process Engineering Intern, gaining hands-on experience in semiconductor process development alongside experienced engineers. You will analyze manufacturing and experimental data, contribute to technology development, and present findings.

This role emphasizes data analytics and AI-driven approaches to improve processes. Ideal candidates are PhD students in related fields and can commit until September 2027, with