AI ENGINEER, SMAI

AI Engineer, SMAI

Join Micron Technology at a defining moment in our history. We are seeking a hands-on, results-driven Full-Stack AI Engineer to design, build, and deploy production-grade AI applications across our worldwide fab and assembly/test plants. Reporting to Industrial and Physical AI director, you will own AI products end to end -- from data pipelines and model training to web/mobile front-ends, APIs, and on-prem or edge deployment -- shipping the tools that put AI into the hands of fab engineers, operators, and leadership across this global program.

Job Responsibilities

Design, build, and ship full-stack AI applications for Micron's Autonomous Operations, including: -

• Design and build end-to-end AI products: data ingestion, feature pipelines, model training/inference, APIs, web UI, and observability
• Develop responsive front-ends in React, Angular or Streamlit, backed by Python/FastAPI, with strong type-safety and test coverage
• Integrate LLMs and agentic into production workflows for fab engineers
• Integration of robotics platforms, AMRs, tool automation, and control systems with smart manufacturing applications and the Micron MES ecosystem
• Containerize services (Docker), deploy via Kubernetes / OpenShift, and automate releases with CI/CD (GitHub Actions)
• Instrument production AI with monitoring, drift detection, evals, and feedback loops; treat MLOps as a first-class engineering concern
• Apply Responsible AI practices: input validation, prompt-injection defense, PII/IP redaction, model risk and audit logging
• Optimize performance and cost: caching, batching, GPU utilization, model quantization, and right-sizing inference for edge or cloud

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field; equivalent industry experience accepted
• 2+ years building and shipping production web or AI applications end to end
• Python skills and modern JavaScript/TypeScript
• SQL fluency
• Hands-on experience with at least one cloud (AWS, Azure, or GCP) and with Docker + Kubernetes; CI/CD pipeline ownership
• Working knowledge of LLMs and the GenAI stack: prompt engineering, function/tool calling, RAG, agentic patterns; familiarity with MLOps / LLMOps and model evaluation/safety practices
• Bonus: prior experience in semiconductor manufacturing or any regulated high-reliability environment