Staff / Principal Full Stack AI Engineer

Micron Technology

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Quick summary

Work type: On-site
Location: Boise, ID
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live today
Nearby: 82 roles within 25 mi

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About Micron Technology

Micron Technology is a global leader in innovative memory and storage solutions including DRAM, NAND flash memory, and solid-state drives for computing, mobile, automotive, and data center applications. Industry: Semiconductor Memory & Storage

Micron Technology currently has 63 open roles on FindRole.

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TL;DR · Staff / Principal Full Stack AI Engineer

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JOB TITLE: Staff / Principal Full Stack AI Engineer (Industrial AI) The Staff / Principal Full Stack AI Engineer joins the Industrial and Physical AI team to drive the transformation of semiconductor manufacturing through Autonomous Operations, AI, robotics, and digital twin technologies. This role involves designing and deploying production-grade AI applications, including data ingestion pipelines, model training, and web applications. You will build scalable integrations between manufacturing systems, robotics platforms, and sensor networks while developing digital twin environments. Key technologies include Python, FastAPI, React, Angular, Streamlit, and SQL. You will manage containerized applications using Docker, Kubernetes, and CI/CD pipelines across cloud and edge environments. The work focuses on integrating LLMs, agentic AI frameworks, and GPU acceleration to optimize industrial workflows, simulation, and operational efficiency within high-reliability manufacturing environments.

Skills

Python TypeScript JavaScript React Angular Streamlit FastAPI Docker Kubernetes CI/CD AWS Azure GCP SQL LLMs RAG NVIDIA Omniverse Gazebo Unity Robotics Hub ROS ROS 2 Isaac Sim Unreal Engine Siemens Tecnomatix Autodesk Revit Navisworks IoT SCADA

What you'll do

Design and deliver end-to-end AI products including data pipelines, model training, APIs, and user interfaces.
Build and maintain front-end applications using React, Angular, or Streamlit with Python and FastAPI backends.
Develop scalable integrations between manufacturing systems, robotics platforms, sensor networks, and enterprise applications.
Design and implement digital twin environments using platforms like NVIDIA Omniverse, Gazebo, or Unity Robotics Hub.
Integrate LLMs, agentic AI frameworks, and AI-assisted decision support into production manufacturing workflows.
Deploy and manage containerized applications using Docker, Kubernetes, and CI/CD pipelines across cloud and edge environments.
Optimize AI and simulation workloads through GPU acceleration, performance tuning, and model optimization.

What we're looking for

Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field, or equivalent professional experience.
5+ years of experience designing, building, and deploying production web applications or AI solutions.
Strong programming skills in Python and modern JavaScript/TypeScript with experience in scalable software architectures.
Experience building data ingestion, ETL, or feature engineering pipelines for AI/ML applications at scale.
Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP), Docker, Kubernetes, and CI/CD pipelines.
Working knowledge of SQL and database technologies used in enterprise application development.
Master’s degree in Computer Science, Artificial Intelligence, Robotics, Data Science, or a related field (preferred).
Prior experience in semiconductor manufacturing, industrial automation, or digital twin development (preferred).

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