Senior Engineer, Unit Process Modeling

Micron Technology, Inc

Hyderabad

On-site

INR 4,000,000 - 7,000,000

Full time

14 days+

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Benefits offered by this job

Medical, dental and vision plans
Robust paid time-off
Paid holidays
income protection

Job summary

Micron Technology, Inc. in India seeks a Semiconductor Design Engineer 3 to lead predictive modeling and digital twin initiatives across DRAM, NAND, and packaging, collaborating with global teams to accelerate tech learning and fab co-optimization.

The role requires a PhD and 5+ years in modeling, with expertise in thermodynamics, materials science, and computational methods; experience with Python, FORTRAN/C++, and multi-physics simulations; strong communication and scientific publishing skills.

Qualifications

  • 5+ years of modeling experience.
  • 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.
  • Experience with Bash, Python, FORTRAN, or C++.

Responsibilities

  • Develop and deploy Digital Twins and predictive models across process and manufacturing domains.
  • Build physics-informed models to evaluate process-structure-performance interactions.
  • Create AI-enabled models for yield, reliability, and design-space exploration.
  • Apply advanced computational methods and sparse-data modeling to semiconductor challenges.
  • Utilize GenAI, LLM copilots, and RAG systems to integrate tools and data.
  • Collaborate with global teams to translate insights into technology decisions.

Skills

Algorithm development
Numerical methods
Scientific computing
Thermodynamics
Physics
Chemistry
Computational materials science
Machine learning
Deep learning
Regression / neural networks
Multi-physics modeling
Linux
Python
FORTRAN
C++
OpenFOAM
ANSYS Fluent
COMSOL

Education

Ph.D. in Applied Chemistry
Ph.D. in Applied Physics
Ph.D. in Materials Science
Ph.D. in Mechanical Engineering
Ph.D. in Chemical Engineering
Ph.D. in Electrical Engineering

Tools

OpenFOAM
ANSYS Fluent
COMSOL

Job description

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

In the Technology Development - Advanced Modeling & AI Solutions (AMAIS) organization, you will be part of a multidisciplinary team developing next-generation Digital Twins, predictive modeling solutions, and AI-driven technologies that accelerate advanced memory development and manufacturing excellence. You will create predictive digital representations of semiconductor processes, materials, structures, equipment, and products across DRAM, NAND, and advanced packaging technologies including HBM. Leveraging physics-based modeling, computational methods, machine learning, GenAI, large language models (LLMs), and agentic AI frameworks, you will enable technology co-optimization, design-space exploration, process optimization, yield improvement, and accelerated technology learning. Working at the intersection of engineering fundamentals, manufacturing data, and digital engineering, you will develop scalable predictive and prescriptive solutions that connect process, structure, performance, yield, reliability, and cost. This role offers the opportunity to influence critical technology decisions, drive fab-technology co-optimization, and advance Micron's leadership in data-driven semiconductor memory innovation.

Qualifications
  • 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
  • Experience with Bash, Python, FORTRAN, or C++
  • Experience with OpenFOAM, ANSYS Fluent, COMSOL, HPEM
  • Strong debug and problem-solving skills
  • Experience writing reports and conference papers
  • Excellent written and verbal communication
  • Ability to work in a team environment and experience with remote collaboration tools
Responsibilities
  • 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.
Experience

5+ years of modeling

Education

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

Job Profile(s)

Semiconductor Design Engineer 3

Relocation level

(TBD)

Micron Benefits

Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future.

  • Choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget.
  • Benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave.
  • Robust paid time-off program.
  • Paid holidays.

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

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