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.

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 a Sr. Full Stack AI Engineer at Micron, you will be part of the FE YMS AI Engineering Team, where you will design and deliver next-generation, AI-native solutions. In this role, you will focus on building intelligent, scalable systems that integrate advanced AI capabilities—including yield analytics and improvement solutions, data ETL pipelines, machine learning/LLM applications, and agentic workflow orchestration. You will partner with multi-functional team members to translate complex business challenges into adaptive, high-performance solutions that employ autonomous agents and workflow automation to drive decision-making and productivity. While your primary focus will be within YMS AI Solutions, the applications and solutions you build will be designed for reuse and scale, enabling enterprise-wide impact across Micron's global operations.

We require a minimum of 3+ years of software engineering experience involving medium- to high-complexity design and implementation. Having experience in the semiconductor industry is advantageous.

Responsibilities

Design, develop, test, deploy, and maintain full-stack applications across front-end UI/UX, API, and backend layers.
Design and implement custom AI agents, reusable agent skills, orchestration frameworks, and automation workflows using modern AI technologies such as LLMs, Model Context Protocol (MCP), and MLOps.
Translate business and functional requirements into scalable, secure, and maintainable technical solutions.
Own the end-to-end software development lifecycle, including design, development, testing, deployment, and support.
Apply strong software engineering practices, including modular architecture, object-oriented design, clean code, automated testing, code reviews, documentation, and source control.
Fix and resolve application, system, and performance issues to ensure reliability and stability.
Collaborate with multi-functional team members to deliver solutions that improve business value.
Continuously improving engineering standards, processes, and operational excellence.
Contribute to the adoption of innovative solutions, intelligent automation, and modern software architectures.

Minimum Qualifications

Bachelor's or master's degree in computer science, software Engineering or a related field; Master preferred.
3+ years building and delivering production web or AI applications end to end.
Track record of delivering in complex, cross-functional environments, collaborating across data science, robotics, operations, and infrastructure teams.
Proficiency in one or more programming languages such as Go, Python, Rust, or JavaScript.
Proficiency with SQL and experience working with relational or non-relational data stores, including but not limited to Snowflake, MSSQL, ORACLE.
Hands-on experience with at least one cloud platform (GCP, Azure, or AWS), Docker and Kubernetes, and CI/CD pipeline ownership.
Hands-on experience with Docker, Kubernetes, and cloud-native application development.
Strong understanding of microservices architecture, REST APIs, performance optimization, observability, and reliability engineering.

Preferred Qualifications

Experience designing and developing AI agents, including multi-agent collaboration, orchestration frameworks, and integration with LLMs and AI models to solve complex business challenges.
Experience designing data ingestion and feature pipelines for AI/ML workloads at scale.
Familiarity with agentic architectures, autonomous workflow orchestration, and integration with LLMs and AI models to solve complex business challenges.
Understanding of Responsible AI principles, model evaluation, observability, and safe AI deployment practices.

What Success Looks Like

ML/AI use cases progress efficiently from concept to reliable production deployment.
Delivered solutions create measurable improvements in manufacturing productivity, quality, decision-making, or engineering efficiency.
AI applications meet agreed standards for security, reliability, maintainability, performance, and responsible use.
Reusable engineering patterns and components reduce delivery time and improve consistency across future AI projects.

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 at [HIDDEN TEXT].

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.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

SR. AI Engineer, SMAI