Intern - Product Yield Software Engineer

Micron•Boise, ID

About The Position

Micron Technology is a world leader in memory and storage solutions. As an Intern Product Yield Enhancement (PYE) Software Engineer, 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 build practical tools that turn large and complex engineering datasets into useful information. Projects may involve data processing and visualization, engineering workflow automation, web-based tools, AI-assisted engineering applications, and improvements to existing PYE software systems. The three-month internship provides a hands-on engineering project where you can apply software development skills to semiconductor manufacturing problems and see the impact of your work. Micron offers medical, dental, and vision plans, programs that help protect income in the event of illness or injury, paid family leave, paid time off, and paid holidays. The company is an equal opportunity workplace and affirmative action employer.

Requirements

Be pursuing a bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical field.
Have experience programming in at least one language such as Perl, Python, C/C++, Java, or similar.
Have strong problem-solving and analytical skills.
Be willing and able 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.
Take ownership of an engineering software project from problem definition through implementation and demonstration.