Full Stack AI Engineer, Industrial and Physical AI

Micron Technology

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Work type
On-site
Location
Boise, ID
Posted
12 days ago
Freshness
Confirmed live today

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Similar $187k
$154k most similar roles pay here $233k

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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 54 open roles on FindRole.

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At a glance

TL;DR · Full Stack AI Engineer, Industrial and Physical AI

The Full Stack AI Engineer joins the Industrial and Physical AI team to design, build, and deploy production-grade AI applications supporting Autonomous Operations. This role involves managing the end-to-end development lifecycle, including data ingestion pipelines, feature engineering, model training, and API development. The engineer will develop front-end applications using React, Angular, or Streamlit, supported by Python and FastAPI backends. Key responsibilities include integrating robotics platforms, AMRs, sensor networks, and digital twin environments using NVIDIA Omniverse, Gazebo, or Unity Robotics Hub. The role requires expertise in LLMs, agentic AI frameworks, Docker, Kubernetes, and CI/CD pipelines across cloud and edge environments. Technical skills include Python, JavaScript, TypeScript, and SQL. The work focuses on solving manufacturing challenges through automated systems, digital twin simulations, and intelligent factory operations within the semiconductor manufacturing domain.

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.
  • Create digital twin environments using platforms like NVIDIA Omniverse or Unity to support simulation and optimization.
  • Integrate LLMs, agentic AI frameworks, and decision support capabilities 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 for 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).
  • Experience in manufacturing, digital twin platforms, robotics integration, or Generative AI solutions (preferred).

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