Senior Engineer, Plasma Modeling

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Skills you'll use

What you'll do

• Develop and deploy Digital Twins and predictive models spanning process, wafer, die, package, and manufacturing domains to enable technology and fab co-optimization.
• Develop structural and Multiphysics models to evaluate process-structure-performance interactions, including stress, deformation, cracking, voiding, and reliability risks.
• Build physics-informed composite AI models that accelerate technology development, yield improvement, reliability assessment, and design-space exploration.
• Apply advanced computational methods, machine learning, and sparse-data modeling techniques to create robust predictive and prescriptive solutions for complex semiconductor challenges.
• Utilize state-of-the-art GenAI, LLM-powered copilots, RAG systems, and agentic AI workflows that integrate engineering tools, knowledge bases, simulation environments, and manufacturing data.
• Collaborate across global engineering teams to translate modeling insights into actionable technology decisions.

Who can apply

• Independence – be comfortable executing activities and needs
• Experience in algorithm development, numerical methods, and scientific computing
• Solid experience with Plasma, FPM, HAR etching, and MC modeling
• Experience with Wet Processes, Chemical Etching and Strip, Material selectivity, Chemistry evaluation, etc.
• Strong background in thermodynamics, physics, and chemistry
• Experience with computational materials science methodologies
• Familiar with machine learning and deep learning concepts and applications
• Experience with regression, neural networks, and frameworks
• Familiar with process and multi-physics modeling, and implementation
• Experience with common modeling software, previous software development and Linux experience

About Micron

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