Intern, Metrology Applications

About the Role

Micron is seeking a highly motivated Metrology Applications Intern to join the RAM organization in Boise, Idaho. This internship provides hands-on experience in semiconductor manufacturing with a focus on metrology applications, process control, measurement performance optimization, and AI-assisted data analysis. Working alongside experienced engineers, you will contribute to projects that improve measurement accuracy, process capability, automation efficiency, and manufacturing decision-making through the application of statistical methods, data analytics, and emerging AI technologies. Training will be provided to ensure safe and effective participation in cleanroom fabrication environments.

Key Responsibilities

• Analyze metrology data to identify process trends, performance opportunities, and measurement anomalies.
• Use Micron-approved AI tools and machine learning methods to improve data analysis, defect classification, technical reporting, and engineering productivity.
• Support process control initiatives using Statistical Process Control (SPC), Design of Experiments (DOE), and data-driven decision-making methodologies.
• Investigate measurement deviations, identify potential root causes, and recommend corrective actions.
• Collaborate with engineers to improve measurement accuracy, tool matching performance, and data integrity.
• Assist with metrology tool health monitoring, qualification activities, calibration routines, and continuous improvement efforts.
• Support fab automation systems by solving data collection, integration, and reporting issues.
• Identify opportunities to automate repetitive tasks or improve workflows through AI-enabled solutions while documenting quality improvements, efficiency gains, and project outcomes.

Requirements & Tech Stack

• Currently pursuing a Bachelor's degree in Electrical Engineering, Materials Science, Physics, Chemical Engineering, Mechanical Engineering, or a related technical field with junior-level standing.
• Must be actively enrolled and not graduating before September 2027.
• Strong technical, analytical, problem-solving, and communication skills.
• Proficiency with Microsoft Office applications and JMP.
• Ability to manage multiple priorities and work effectively in a fast-paced, high-technology environment.
• Demonstrated commitment to continuous improvement, innovation, and creative problem solving.
• Interest in responsibly applying AI tools to engineering challenges and validating AI-generated results against actual data and engineering principles.
• Ability to recognize, communicate, and escalate process anomalies with an appropriate sense of urgency.

Preferred Qualifications

• Understanding of Statistical Process Control (SPC), Design of Experiments (DOE), and related statistical methodologies.
• Experience with programming, scripting, data visualization, or analytical tools such as Python, Java, Tableau, MATLAB, or similar platforms.
• Strong data analytics, data visualization, and quantitative problem-solving capabilities.
• Familiarity with data collection systems, data warehousing concepts, data cleansing techniques, and manufacturing information systems.
• Hands-on experience with data analytics, database querying, automation technologies, and experience and/or interest in developing Agentic AI workflows into current or future processes.