Senior Engineer, Plasma Modeling

Job Title

Senior Engineer, Plasma Modeling

Role Summary

As a Senior Engineer in Advanced Modeling & AI Solutions (AMAIS), you will develop predictive digital twins and physics-based and ML-driven models for semiconductor processes, equipment, materials, and products across DRAM, NAND and advanced packaging. Work includes plasma and wet-process modeling, multi-physics simulations, and integration of predictive models into technology and fab co-optimization.

The role partners with global engineering teams to translate modeling outputs into process decisions that improve yield, reliability, and manufacturing performance.

Experience Level

Senior-level. 5+ years of modeling experience (semiconductor process or related computational modeling).

Responsibilities

Deliver modeling and digital-engineering solutions to enable process development, optimization, and technology decisions.

• Develop and deploy digital twins and predictive models across process, wafer, die, package, and manufacturing domains.
• Create structural and multi-physics models to evaluate stress, deformation, cracking, voiding, and reliability risks.
• Build physics-informed composite AI models for design-space exploration, yield improvement, and reliability assessment.
• Apply advanced numerical methods, machine learning, and sparse-data techniques to produce robust predictive and prescriptive solutions.
• Integrate GenAI/LLM-powered tools, RAG systems, and agentic AI workflows with simulation environments and manufacturing data.
• Collaborate with global engineering teams to translate modeling insights into actionable technology choices.

Requirements

Core technical skills and domain expertise required. Listed as must-have where indicated; other items are beneficial.

• Must-have: 5+ years of modeling experience; algorithm development, numerical methods, and scientific computing.
• Must-have: Solid experience with plasma processes (including FPM), HAR etching, Monte Carlo modeling, and wet processes (chemical etch/strip, material selectivity).
• Must-have: Strong background in thermodynamics, physics, and chemistry; experience with computational materials science methodologies.
• Must-have: Experience with process and multi-physics modeling and implementation; familiarity with common modeling software and Linux-based development.
• Must-have: Programming/scripting experience (Bash, Python, FORTRAN, or C++); strong debugging and problem-solving skills.
• Nice-to-have: Experience with OpenFOAM, ANSYS Fluent, COMSOL, HPEM.
• Nice-to-have: Familiarity with machine learning/deep learning concepts, regression and neural-network frameworks, and applying GenAI/LLMs/agentic AI in engineering workflows.
• Effective written and verbal communication; experience writing technical reports and conference papers; ability to work in distributed teams using remote collaboration tools.

Education Requirements

Ph.D. in Applied Chemistry, Applied Physics, Materials Science, Mechanical Engineering, Chemical Engineering, Electrical Engineering, or a related field.

About the Company

Company: Micron Technology

Headquarters: Boise, Idaho, USA

Micron Technology is a global leader in memory and storage solutions, dedicated to transforming how the world uses information. The company offers a diverse portfolio of high-performance DRAM, NAND, and NOR memory products under the Micron and Crucial brands. With a commitment to customer focus and technological innovation, Micron drives advancements in artificial intelligence, 5G, and other data-centric applications, empowering users to learn, communicate, and progress.