Intern - RDA Application Engineer

Micron•Boise, ID

2d•Onsite

About The Position

Micron Technology is seeking a Process Integration Intern to join its RAM (RDA and Metrology) group in Boise, Idaho. The RAM group supports semiconductor manufacturing through advanced process control, precision measurement, defect detection, inline metrology, and signal analysis. The internship provides hands-on experience with in-fab measurement performance, RDA signal analysis, process control optimization, and practical applications of AI tools in manufacturing. The intern will complete a project designed to span the three-month internship and will receive training for safe and effective participation in cleanroom fabrication environments. The intern will use Micron-approved AI tools and data-analysis methods to support defect and metrology analysis, process control, measurement performance, and automation. The role includes collaborating with engineers, identifying opportunities for improvement, and presenting the project’s findings and AI-related impact near the end of the internship.

Requirements

Be a current student with junior-level status in Electrical Engineering, Material Science, Physics, Chemical Engineering, Mechanical Engineering, or a related field.
Must not be graduating before September 2026.
Have a passion for working in a fast-paced, high-tech environment.
Ability to manage multiple tasks and prioritize effectively.
Strong technical, analytical, and communication skills.
Proficiency in Microsoft Office and JMP.
A mindset for continuous improvement and creative problem solving.
Interest in responsibly applying AI tools to engineering problems, including checking AI-generated results against actual data.
Ability to recognize and urgently escalate process anomalies.

Nice To Haves

Understanding of SPC (Statistical Process Control) and DOE (Design of Experiments).
Experience with scripting, programming, or visualization tools such as Python, Java, Tableau, or Matlab.
Strong data intuition and visualization skills.
Familiarity with data collection systems, data warehousing, and data cleansing.
Hands-on experience in data analytics and database querying.

Responsibilities

Analyze defect and metrology data to identify process trends and anomalies.
Use Micron-approved AI tools and machine learning methods to accelerate data analysis, defect classification, and reporting.
Support process control initiatives using SPC and DOE methodologies.
Investigate deviations in measurement results and propose corrective actions.
Collaborate with engineers to improve measurement accuracy, tool matching, and data integrity.
Assist with tool health monitoring and calibration routines.
Work with fab automation systems to troubleshoot data collection and integration issues.
Identify repetitive tasks that could be automated or improved with AI, and document resulting time or quality gains.
Take initiative to drive the assigned project to completion.
Present findings verbally near the end of the internship, including how AI was used and its impact on the project.