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Full Stack AI Engineer (Industrial and Physical AI)

Micron Technology
Boise, USA
Onsite
Discovered 1 months ago
PythonJavaScript/TypeScriptScalable software architectureData ingestion and ETL pipelinesFeature engineeringCloud platform (AWS, Azure, or GCP)

Full Job Posting

Team and role

Micron’s Industrial and Physical AI team develops solutions for semiconductor manufacturing using autonomous operations, AI, robotics, and digital twins.

The hands-on engineer owns end-to-end development of production-grade AI applications, from data pipelines and models to APIs, web applications, integrations, and cloud or edge deployment.

Responsibilities

  • Build AI products covering data ingestion, feature engineering, model training and inference, APIs, interfaces, and monitoring.
  • Develop web front ends and Python/FastAPI services; integrate manufacturing systems, robotics, AMRs, sensor networks, and enterprise applications.
  • Create digital twin and simulation environments and integrate LLMs, agentic AI, and decision support into manufacturing workflows.
  • Deploy containerized services on cloud and edge using Docker, Kubernetes, and CI/CD; optimize workloads using GPUs and model tuning.
  • Apply Responsible AI standards.

Minimum qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field, or equivalent professional experience.
  • 5+ years designing, building, and deploying production web applications, AI solutions, or both.
  • Strong Python and modern JavaScript/TypeScript skills and experience with scalable software architecture.
  • Experience building data ingestion, ETL, or feature engineering pipelines for AI/ML applications at scale.
  • Hands-on experience with at least one of AWS, Azure, or GCP, plus Docker, Kubernetes, and CI/CD development.
  • Working knowledge of SQL and enterprise application database technologies.

Preferred qualifications

  • Related master’s degree or equivalent experience; experience in semiconductor or advanced manufacturing, industrial automation, digital twins, or high-reliability operations.
  • Generative AI, RAG, prompt engineering, tool calling, agentic workflows, or LLMOps experience.
  • Experience with simulation platforms, Autodesk tools, point clouds, robotics, ROS/ROS 2, autonomous mobile robots, IoT, or SCADA/FMCS/BMS integrations.

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