Intern - RDA Application Engineer

Micron Technology•Boise, ID

3d•Onsite

About The Position

Micron Technology’s RAM (RDA and Metrology) group develops advanced process control and precision measurement techniques for semiconductor manufacturing, including defect detection, inline metrology, and signal analysis. The group uses statistical methodologies, automation systems, and AI-enabled analytics to improve process stability and product quality and support next-generation memory technologies. The intern will join the RAM team in Boise, Idaho, for a three-month internship focused on in-fab measurement performance, RDA signal analysis, process control optimization, and practical use of AI tools in manufacturing. The intern will receive training for safe and effective participation in cleanroom fabrication environments and will complete an assigned project spanning the internship. The project’s findings will be presented verbally near the end of the internship, including how AI was used and its impact.

Requirements

Junior-level standing in Electrical Engineering, Material Science, Physics, Chemical Engineering, Mechanical Engineering, or a related field.
Must be a current student and not graduating before September 2026.
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 continuous-improvement mindset and creative problem-solving ability.
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 Statistical Process Control (SPC) and Design of Experiments (DOE).
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, warehousing, and 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 project findings verbally near the end of the internship, including how AI was used and its impact.