Intern - Product Yield Software Engineer

Micron Technology•Boise, ID

18h

About The Position

As an Intern Product Yield Enhancement (PYE) Software Engineer at Micron Technology, you will help develop software and automation solutions that enable engineers to analyze semiconductor manufacturing and product data more efficiently. PYE engineers work across Research and Development, Manufacturing, Product Engineering, and Global Quality to help take next-generation devices from design to mass production. In this software-focused role, you will work alongside PYE engineers to develop practical tools that turn large and complex engineering datasets into useful information. Projects may include data processing and visualization, engineering workflow automation, web-based tools, AI-assisted engineering applications, and improvements to existing PYE software systems. This three-month internship provides a hands-on engineering project applying software development skills to semiconductor manufacturing problems. The internship offers the opportunity to build software for real manufacturing and product problems; gain experience with large-scale semiconductor engineering data; learn how software, data analytics, and semiconductor engineering come together in a high-volume manufacturing environment; work directly with experienced engineers and software users; take ownership of a project from problem definition through implementation and demonstration; and explore modern AI and automation technologies for engineering workflows.

Requirements

Pursuing a bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical field.
Programming experience in at least one language such as Perl, Python, C/C++, Java, or similar.
Strong problem-solving and analytical skills.
Ability and willingness to learn unfamiliar technologies and engineering concepts.
Expected graduation date must not be before September 1, 2027.

Nice To Haves

Experience with Perl.
Familiarity with SQL and relational databases.
Experience with Linux/Unix environments.
Familiarity with web development technologies.
Experience working with data visualization or reporting tools.
Familiarity with Git or other source-control systems.
Exposure to statistics, data science, machine learning, or AI tools.
Experience using generative AI and AI-assisted development tools to improve engineering productivity.
Semiconductor knowledge; helpful but not required.
Ability to work effectively in a diverse, fast-paced engineering environment.
Excellent communication skills.
Self-motivation, curiosity, and enthusiasm for solving real engineering problems.

Responsibilities

Develop and improve software tools used by PYE engineers for engineering analysis and decision-making.
Create automation for processing, analyzing, and visualizing semiconductor manufacturing and product data.
Work with large engineering datasets to identify useful patterns, trends, and relationships.
Develop scripts, applications, dashboards, reports, or web-based engineering tools.
Explore practical applications of AI-assisted engineering and software development.
Improve existing engineering workflows through automation and software integration.
Debug, test, document, and maintain software used by engineering teams.
Collaborate with PYE engineers to understand engineering problems and translate them into effective software solutions.
Communicate project results and demonstrate completed tools to engineers and management.