Intern - Test Solutions Engineering

Micron Technology; Singapore; On-site; SGD 20,000 - 27,000; Full time

Job summary

Micron Technology, Inc. seeks a highly motivated intern to contribute to AI-enabled automation within Test Solutions Engineering. You will develop Python-based tools, explore Generative AI, and help build reusable components across engineering teams.

You will gain hands-on experience in AI-assisted workflows, software development practices, and cross-functional collaboration in a semiconductor environment during a full-time internship from January to May/June 2027.

Qualifications

• Pursuing a Bachelor's degree with strong interest in Python and AI.
• Experience with Python programming through projects or coursework.
• Interest in Generative AI, LLMs, AI assistants, or agentic AI.
• Understanding software development fundamentals and APIs.
• Strong analytical thinking and communication skills.
• Ability to work independently and in a team.

Responsibilities

• Develop Python-based automation tools for engineering workflows.
• Explore Generative AI, LLMs, AI assistants, and Agentic AI for engineering applications.
• Create reusable components and analytics capabilities.
• Present technical findings and document outcomes.
• Collaborate with cross-functional engineering teams in semiconductor testing.

Skills

Python programming

AI/ML

LLMs

AI assistants

Agentic AI

Education

Bachelor's degree candidate (in progress)

Tools

APIs

Version control

Job description

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

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

Department

Test Solutions Engineering (TSE)

Project Title

AI-Enabled Test Solutions Automation and Agentic Engineering Workflow

Project Description

This internship provides an opportunity to participate in the development of AI-Enabled automation solutions for Test Solutions Engineering. The project focuses on exploring how Generative AI, Large Language Models (LLMs), AI Assistants, and Agentic AI solutions can be applied to improve engineering workflows and productivity.

The intern will contribute to project-based initiatives involving automation development, workflow orchestration, data analytics, and AI-enabled engineering solutions. Through collaboration with engineering teams, the intern will gain exposure to engineering processes, modern software development practices, and Artificial Intelligence technologies used in semiconductor test environments.

Objective of the Project

To develop and evaluate AI-Enabled automation capabilities that streamline engineering workflows, improve information accessibility, enhance productivity, and promote reusable engineering solutions across Test Solutions Engineering organizations.

Opportunities for Full Time Employment

High-performing candidates may be considered for future full-time employment opportunities based on business needs, project contribution, technical competency, and demonstrated learning agility.

Project Scope

This internship provides an opportunity to contribute to AI-Enabled automation initiatives within Test Solutions Engineering. The project focuses on applying Python programming, Generative AI, Large Language Models (LLMs), and related AI technologies to improve engineering workflows, enhance productivity, and develop reusable solutions that can be leveraged across multiple engineering teams. Interns will gain hands-on experience in software development, AI-assisted engineering workflows, and cross-functional collaboration while working on project-based objectives.

• Develop Python-based automation tools and software solutions to enhance engineering efficiency.
• Explore and evaluate Generative AI, LLMs, AI Assistants, and Agentic AI technologies for engineering applications.
• Create reusable components, integrations, and analytics capabilities that support broader automation initiatives.
• Present technical findings, document project outcomes, and recommend opportunities for future enhancements.

Learning Opportunities

The Intern Will Have Opportunities To

• Gain practical experience in Python software development and automation.
• Learn how Generative AI, LLMs, Retrieval-Augmented Generation (RAG), AI Assistants, and Agentic AI solutions are applied in engineering environments.
• Develop knowledge of software engineering fundamentals including APIs, version control, and integration methodologies.
• Enhance analytical, problem-solving, and technical communication skills.
• Experience collaboration within cross-functional engineering teams in a semiconductor technology environment.
• Participate in project planning, technical evaluation, solution development, and results presentation activities.

Deliverables

• Python-based automation modules or tools.
• AI-Enabled proof-of-concept solutions and technical evaluations.
• Project documentation, implementation guides, and knowledge-sharing materials.
• Performance analysis and recommendations for future enhancements.
• Final project presentation summarizing objectives, methodology, outcomes, and learning experiences.

Impact of the Project

The project contributes to the advancement of AI-Enabled engineering capabilities by improving workflow efficiency, promoting automation adoption, and establishing reusable solutions that can be leveraged across engineering organizations.

Skillsets Required

• Experience with Python programming through academic, personal, research, or project-based work.
• Interest in Artificial Intelligence, Generative AI, Large Language Models (LLMs), AI Assistants, or Agentic AI technologies.
• Familiarity with AI tools, prompt engineering, Retrieval-Augmented Generation (RAG), agent frameworks, or AI-enabled workflows is advantageous.
• Understanding of software development fundamentals and problem-solving methodologies.
• Strong analytical thinking and communication skills.
• Ability to work independently on project assignments and collaborate effectively within a team environment.

Course of Interest

The ideal candidate should be pursuing a Bachelor's degree in any discipline and demonstrate experience or strong interest in Python programming, Artificial Intelligence, Large Language Models (LLMs), Generative AI, AI Assistants, or related AI technologies.

Duration of Period

The ideal candidate should be able to commit to a full time internship period of at least 5 months from Jan to May/Jun 2027.

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

To request assistance with the application process and/or for reasonable accommodations, please contact [e-mail]

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.