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Intern - SMAI TD AI Engineering Team Posted

Job in Boise, Ada County, Idaho, 83701, USA
Listing for: Micron Technology, Inc.
Full Time, Apprenticeship/Internship position
Listed on 2026-10-07
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 18 - 25 USD Hourly USD 18.00 25.00 HOUR
Job Description & How to Apply Below
## Intern - SMAI TD AI Engineering Team Boise, Idaho, United States of America
** 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.

The Smart Manufacturing & AI (SMAI) organization develops AI-enabled solutions that drive business value, operational efficiency, and innovation across Micron. By combining software engineering, artificial intelligence, automation, and data-driven decision-making, the team delivers scalable technologies that improve productivity and accelerate digital transformation throughout the enterprise.###As an AI Engineering Intern, you will design, develop, and support AI-enabled software solutions that address real-world business challenges across Micron.

You will work on full stack applications, AI agents, LLM integrations, and modern software systems while gaining hands-on experience with production-grade AI technologies, cloud-native architectures, and AI-assisted software development practices.

Responsibilities
* Design, develop, test, and support AI-enabled software applications using modern programming languages, web technologies, databases, APIs, and cloud-based architectures.
* Build and integrate AI capabilities such as large language models (LLMs), AI agents, retrieval systems, and intelligent automation solutions into enterprise applications.
* Collaborate with engineers, product owners, and business stakeholders to translate business requirements into scalable technical solutions.
* Utilize AI-assisted development tools, automation frameworks, and modern engineering practices to improve software quality, productivity, and delivery efficiency.
* Research, evaluate, and prototype emerging AI technologies while contributing to software documentation, testing, continuous improvement, and operational excellence initiatives.

Minimum Qualifications
* 0-2 years of relevant experience through internships, research projects, coursework, academic projects, hackathons, or software development experience in artificial intelligence, software engineering, data science, or related technical fields.
* Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Artificial Intelligence, or a related technical field.
* Expected graduation date of September 2027 or later.
* Strong understanding of software engineering fundamentals, data structures, algorithms, and object-oriented programming concepts.
* Experience with at least one programming language such as Python, C#, JavaScript, Type Script, Java, or similar technologies.
* Familiarity with relational and/or No

SQL database technologies.
* Understanding of software architecture principles and modern application development practices.
* Strong analytical, troubleshooting, and problem-solving skills.
* Ability to work effectively in a collaborative, team-oriented environment.
* Demonstrated experience using AI-enabled tools and large language models (LLMs) such as Copilot, ChatGPT, Claude, Gemini, or similar technologies to improve productivity, software development, learning, and problem-solving.

Preferred Qualifications
* Knowledge of large language models (LLMs), AI agents, generative AI, and modern AI application architectures.
* Familiarity with prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, embeddings, Model Context Protocol (MCP), and agentic workflows.
* Basic understanding of machine learning concepts, including model training, inference, supervised learning, and unsupervised learning.
* Experience with AI-assisted software development tools, coding assistants, or intelligent automation technologies.
* Experience building web applications using modern full stack frameworks and development practices.
* Familiarity with REST APIs, cloud platforms, containerization technologies, Dev Ops tools, or CI/CD methodologies.
* Experience using source control systems such as Git and participating in collaborative software development workflows.
* Strong written and verbal communication skills with the ability to present technical concepts effectively.
* Demonstrated curiosity, initiative, and passion for learning emerging AI technologies and solving complex technical challenges.##As a world leader in the semiconductor industry,…
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