About The Position

Micron Technology is a world leader in innovating memory and storage solutions. The Technology Development team builds advanced modeling and AI solutions that shape how memory and storage technologies are designed, built, and scaled. This role is critical to accelerating semiconductor technology development using advanced AI and physics-based modeling. The position involves leading the design and deployment of agentic and LLM-powered solutions that directly influence process technology, packaging, and early manufacturing decisions. It offers the opportunity to drive hard problems end to end and collaborate across hardware and software teams, providing real impact and visibility.

Requirements

  • 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

Nice To Haves

  • 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
  • Strong understanding of agentic AI frameworks such as LangGraph or AutoGen and evaluation tools such as AgentEval
  • 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

Responsibilities

  • 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

Benefits

  • Choice of medical, dental and vision plans
  • Benefit programs that help protect your income if you are unable to work due to illness or injury
  • Paid family leave
  • Robust paid time-off program
  • Paid holidays
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