Intern - Metrology Process Development Engineer

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Are you energized by providing solutions, that no one else can? Would you like to enable groundbreaking semiconductor technology development? Do you have experience with Optical films, overlay, electrical, x-ray, profiling, and other physical characterization methods? Do you enjoy applying Data Science concepts to large data streams and data analysis challenges?

We are the lifeblood of Micron's technology development, providing in-fab data that quantifies the statistics of every process used to make the memory chips that are powering the mobile devices, data centers, autonomous cars, and of course personal computers in use across the globe. We continually evaluate new metrology methods, techniques, and equipment to deliver innovative process characterization, enabling the industry's leading technology portfolio.

This position is for an internship in the Metrology Technology Development group in Boise, a growing city that is continuously listed as one of the top in the country. In Metrology, we work on projects meaningful to current and future semiconductor manufacturing needs. Our mission is to develop timely and innovative solutions to the tough challenges our process teams face as technology continues to scale to smaller devices and higher capacities.

You will collaborate with engineers in Metrology, in Boise and across the globe, as well as other process areas. Projects may include focus on one or more of subject areas within the metrology group;
Optical Thin Films, Scatterometry/OCD, X-Ray, Overlay/Registration, Profiling/Topography, FIB, or CDSEM.

We are increasingly using artificial intelligence (AI), machine learning (ML), and sophisticated analytics to accelerate metrology development, improve process characterization, and drive data-informed decision making. Successful candidates should demonstrate curiosity and willingness to use AI-enabled tools and data-driven methodologies to enhance productivity, problem solving, and innovation.

Six-months co-op and 3 months summer internships will be considered

• Complete two or three Metrology related projects, summarize the results, and present your project to the larger Metrology team.
• Plan, design, and run experiments in a semiconductor cleanroom using pioneering technology.
• Analyze top-down and cross-sectional semiconductor structure metrology data using Excel and JMP.
• Work on new metrology technology and measurement techniques to ensure that our measurement capabilities meet the technical device roadmaps.
• Working closely with process development and process integration engineers to optimize measurements for multiple device process flows and layer stacks.
• Developing applications on next generation processes and technologies within Fab 4 and qualification for technology transfers to production fabs.
• Evaluations of new metrology tools to resolve lowest cost of ownership solutions with the highest accuracy and precision for deployment in R&D and high volume manufacturing.
• Use approved AI tools in accordance with Micron policies to accelerate research, technical analysis, documentation, and information exchange.

• Applicants should be working towards an M.S. or Ph.D. in Engineering, Physics, Material Science, or a semiconductor-related field.
• Must be a current student, must not graduate before September 2027.
• Deep understanding of Optical Metrology, Overlay/Registration, Profiling/Topography, X-Ray, electrical, or other metrology techniques.
• Background in data science and applying it to semiconductor metrology techniques with large data analytics requirements.
• Have process and equipment related experience or completed coursework in instrumentation and calibration procedures and semiconductor processing. Have developed a keen understanding of semiconductor manufacturing processes (diffusion, CVD, Etch, Lithography) and semiconductor process flows (NAND, DRAM).

• Possess strong skills including MS Office, JMP, AI-enabled productivity tools, and programming languages such as MATLAB, Python, C, and C++. Experience using AI and machine learning tools for data analysis, modeling, or workflow automation.
• Demonstrate strong data analysis skills and a high level of attention to detail.
• Have the flexibility to work individually, be part of a team, and lead a team at a per project level.
• Interest in artificial intelligence, machine learning, data analytics, or other computational techniques and their application to engineering and semiconductor manufacturing challenges.
• Ability to employ AI-assisted tools to improve productivity, technical communication, data interpretation, and problem solving while exercising sound engineering…