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# Senior or Staff Engineer, Advanced Modeling & AI Solutions

- **Company:** Micron Technology, Inc.
- **Location:** Boise, ID, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Code Generation, Data Presentation, Electronic Design Automation, Machine Learning, Tensorflow, Pytorch, Retrieval-Augmented Generation, Large Language Models, Agentic-AI, Information Technology, AutoGen, Machine Learning Operations
- **Published:** October 23, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3466676293&tx=KL2727FFP&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelors, Masters or PhD in Electrical Engineering, Computer Science, or a related field with experience commensurate with the role.
 * Experience in developing machine learning models on large and diverse datasets.
 * Hands-on experience building and deploying AI/ML systems using frameworks such as PyTorch or TensorFlow, including LLMs, RAG, and agentic workflows
 * Experience deploying ML pipelines on cloud platforms such as AWS, GCP, or Azure, * Proven ability to lead AI/ML projects from problem definition through production in semiconductor environments. Applying AI/ML to semiconductor design, process technology, validation, or manufacturing workflows
 * Experience with MLOps practices, CI/CD pipelines, and production LLM deployment
 * Experience with agentic AI frameworks such as LangGraph or AutoGen and evaluation tools such as AgentEval
 * Developer level working knowledge of Code generation tools
 * Experience with Agentic Architecture development, MCPs, and building Knowledge Base / Ontologies from disparate data sources
 * Demonstrated ability to partner with cross-functional engineering teams and turn complex models into actionable decisions
 * Strong Communication skills

## Description

* Design and deploy physics-based, ML, and LLM-powered modeling solutions for semiconductor process, package, and manufacturing workflows
 * Architect agentic AI systems that integrate with modeling tools, design automation environments, and fab/test platforms to enable digital twin development
 * Define and promote best known methods for deploying LLMs and agentic systems reliably in production environments
 * Evaluate and improve model performance using methods such as structured benchmarking, prompt tuning, RLHF, and feedback loops
 * Translate modeling results into clear insights through data storytelling and visualizations for technical and non-technical audiences