Senior Engineer, Unit Process Modeling

Job Title

Senior Engineer, Unit Process Modeling

Role Summary

Join the Advanced Modeling & AI Solutions (AMAIS) team to develop digital twins, predictive models, and AI-driven solutions for semiconductor process and manufacturing optimization. Work spans DRAM, NAND, and advanced packaging; focus is on physics-based and data-driven modeling to inform technology and fab co-optimization.

Experience Level

Senior. Requires demonstrated modeling experience; the posting specifies 5+ years of modeling experience.

Responsibilities

Develop and deploy predictive and prescriptive modeling solutions across process, wafer, die, package, and manufacturing domains.

• Create Digital Twins and predictive models linking process, structure, performance, yield, reliability, and cost.
• Develop structural and multiphysics models to assess stress, deformation, cracking, voiding, and reliability risks.
• Build physics-informed composite AI models for technology development, yield improvement, and design-space exploration.
• Apply computational methods, machine learning, and sparse-data techniques for robust predictions and prescriptions.
• Integrate GenAI/LLM-powered tools, RAG systems, and agentic workflows with engineering tools, simulations, and manufacturing data.
• Collaborate with global engineering teams to translate modeling results into actionable technology decisions.

Requirements

Core technical skills and experience required and preferred for success in this role.

Must-have

• Experience in algorithm development, numerical methods, and scientific computing.
• Practical experience with plasma, FPM, HAR etching, and Monte Carlo (MC) modeling; experience with wet processes and chemical etch/strip.
• Strong background in thermodynamics, physics, and chemistry and experience with computational materials science methods.
• Experience with process and multiphysics modeling and common modeling software.
• Software development experience on Linux; experience with Bash and one or more of Python, FORTRAN, or C++.
• Familiarity with tools such as OpenFOAM, ANSYS Fluent, COMSOL, or HPEM.
• Strong debugging, problem-solving, written communication, and team collaboration skills.

Nice-to-have

• Familiarity with machine learning/deep learning concepts, regression, and neural networks.
• Experience writing technical reports and conference papers; experience with GenAI/LLM integrations for engineering workflows.

Education Requirements

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