SR. AI Engineer

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 Senior 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 support full-stack applications across front-end UI/UX, API, and backend layers, taking ownership of the end-to-end software development lifecycle.
• Design and implement custom AI agents, reusable agent skills, orchestration frameworks, and automation workflows using modern AI technologies such as large language models (LLMs), Model Context Protocol (MCP), and MLOps.
• Translate business and functional requirements into scalable, secure, and maintainable technical solutions.
• Apply and continuously improve software engineering standards and practices, including modular architecture, object-oriented design, clean code, automated testing, code reviews, documentation, source control, and operational excellence.
• Troubleshoot and resolve application, system, and performance issues to ensure reliability and stability.
• Collaborate with cross-functional teams to deliver solutions that create measurable business value.
• 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; a master's degree is preferred.
• 3+ years of experience building and delivering production web or AI applications end to end.
• Proven experience delivering solutions in complex, cross-functional environments and collaborating with 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, Microsoft SQL Server, and Oracle.
• Hands-on experience with at least one cloud platform, such as GCP, Azure, or AWS, as well as Docker, Kubernetes, cloud-native application development, and CI/CD pipelines.
• Strong understanding of microservices architecture, REST APIs, performance optimization, observability, and reliability engineering.

Preferred Qualifications

• Experience designing AI agents, multi-agent collaboration patterns, and autonomous workflow orchestration, including integration with LLMs and other AI models to solve complex business challenges.
• Experience designing data ingestion and feature pipelines for AI/ML workloads at scale.
• Understanding of Responsible AI principles, model evaluation, observability, and safe AI deployment practices.
• Experience in semiconductor manufacturing, smart manufacturing, industrial automation, robotics, or another high-reliability engineering environment.

What Success Looks Like
ML/AI use cases to 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 [email protected] .
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.
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