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Intern - Product Yield Software Engineer Boise, Idaho, Posted ago

Job in Boise, Ada County, Idaho, 83708, USA
Listing for: Micron Technology, Inc.
Part Time, Apprenticeship/Internship position
Listed on 2026-10-29
Job specializations:
  • Software Development
    Software Engineer, Python, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 18 - 28 USD Hourly USD 18.00 28.00 HOUR
Job Description & How to Apply Below
## Intern - Product Yield Software Engineer Boise, Idaho, United States of America Apply Now Find out how well you match with this jobJob :
JR115864
** 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.

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 internship is intended to provide a hands-on engineering project where you can apply software development skills to real semiconductor manufacturing problems and see the impact of your work. This is a 3-month internship.  
** Responsibilities
* * Your job duties may include:  
* 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.
* During the internship, you'll have an opportunity to:
Build software that engineers can use to solve real manufacturing and product problems. Gain experience working 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. Explore how modern AI and automation technologies can improve engineering workflows.

** Minimum Qualifications*
* * Pursuing a bachelor's degree in
** Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical field**.
* Experience programming 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**.  
** Preferred Qualifications*
* * 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 is 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.

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future.  We offer a choice of medical, dental and vision plans in all locations enabling team members to…
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