Principal Full-Stack AI Engineer for Autonomous Ops

Micron Technology, Inc.; United States; On-site; USD 130,000 - 210,000; Full time

Benefits offered by this job

Job summary

Micron Technology, Inc. seeks a hands-on Full-Stack AI Engineer to design, build, and deploy production-grade AI applications supporting Autonomous Operations initiatives across global facilities.

Responsibility covers data pipelines, AI models, APIs, web apps, digital twin integrations, and cloud/edge deployments, with emphasis on scalable architectures and cross-functional collaboration.

Qualifications

• 5+ years of experience designing, building, and deploying production web applications and AI solutions.
• Strong Python and JavaScript/TypeScript skills with experience in scalable architectures.
• Experience building data ingestion, ETL, or feature-engineering pipelines for AI/ML at scale.
• Hands-on with at least one major cloud platform (AWS/Azure/GCP), Docker, Kubernetes, and CI/CD workflow development.

Responsibilities

• Design, architect, and deliver end-to-end AI products including data pipelines, feature engineering, model training/inference, APIs, UIs, and monitoring.
• Build modern front-end applications using React, Angular, or Streamlit with Python/FastAPI backend.
• Develop scalable integrations between manufacturing systems, robotics platforms, AMRs, sensors, and enterprise apps.
• Design digital twins using NVIDIA Omniverse, Gazebo, or Unity Robotics Hub for simulation and optimization.
• Deploy and manage containerized apps with Docker, Kubernetes, and CI/CD across cloud and edge environments.

Skills

Python

JavaScript/TypeScript

Cloud platforms

API design

Data ingestion / ETL

Education

Bachelor's degree in CS/SE/Data Science

Master's degree in CS/AI/Robotics

Tools

Docker

Kubernetes

CI/CD

FastAPI

React/Angular/Streamlit

Job description

Micron Technology, Inc. seeks a hands-on Full-Stack AI Engineer to design, build, and deploy production-grade AI applications supporting Autonomous Operations initiatives across global facilities.

Responsibility covers data pipelines, AI models, APIs, web apps, digital twin integrations, and cloud/edge deployments, with emphasis on scalable architectures and cross-functional collaboration.