Intern - EDE Thin Films Equipment Engineering

Micron • Boise, ID

6d

About The Position

The Thin Films Equipment Engineering team at Micron develops and enhances advanced semiconductor manufacturing equipment in a fast-paced research and development environment. The team works closely with Process Engineering, Facilities Engineering, and equipment suppliers to enable next-generation memory technologies and achieve world-class equipment performance. Through innovation, collaboration, and data-driven decision-making, the team plays a critical role in advancing semiconductor technology development. As a Thin Films Equipment Engineering Intern, you will gain hands-on experience working with groundbreaking semiconductor equipment and processes. You will support engineering projects focused on equipment optimization, data analysis, and technology development while collaborating with multi-functional teams. This role provides exposure to semiconductor manufacturing, experimental design, and the application of advanced analytics to solve complex engineering challenges.

Requirements

• Currently pursuing a Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, Chemical Engineering, Materials Science, Physics, or a related engineering field.
• Demonstrated analytical and problem-solving skills through coursework, projects, internships, or research experience.
• Ability to collect, organize, and analyze technical data using engineering or statistical methods.
• Effective verbal and written communication skills with the ability to present technical information clearly.
• Availability to complete an internship aligned with academic program requirements.

Nice To Haves

• Knowledge of semiconductor manufacturing processes, thin films technology, or semiconductor equipment systems.
• Experience with data analysis tools, programming, or scripting languages such as Python, SQL, JMP, or similar technologies.
• Familiarity with design of experiments (DOE), statistical analysis, or process optimization methodologies.
• Experience applying Artificial Intelligence, machine learning, or advanced analytics techniques to support engineering or research projects.
• Demonstrated ability to work effectively in collaborative, cross-functional team environments.

Responsibilities

• Collect, analyze, and interpret equipment and process data to find opportunities for performance optimization and continuous improvement.
• Support structured engineering experiments, document findings, and communicate results through technical reports and presentations.
• Collaborate with Equipment Engineering, Process Engineering, Facilities Engineering, and equipment suppliers to address technology-development challenges and improve equipment performance.
• Develop an understanding of equipment hardware, process interactions, and operating conditions to fix and solve engineering issues.
• Leverage Artificial Intelligence and data analytics tools to enhance data-driven decision-making, identify trends, and improve engineering workflows.

Benefits

• Choice of medical, dental and vision plans
• Benefit programs that help protect your income if you are unable to work due to illness or injury
• Paid family leave
• Robust paid time-off program
• Paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed