Senior Engineer, Plasma Modeling

Micron Technology; Hyderabad; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Micron Technology in Hyderabad, India, is seeking a senior research-focused engineering professional to develop predictive digital twins and physics-informed AI models for advanced memory technologies. You will work across wafer, die, package, and manufacturing domains, leveraging ML/DL, multi-physics, and GenAI tools to optimize processes and yield.

The role emphasizes collaboration with global teams, publication of technical results, and close alignment with fab co-optimization initiatives.

Qualifications

• Ph.D. in a relevant field with strong research background in computational modeling.
• Experience in modeling and simulation for semiconductor processes and materials.
• Familiar with ML/DL concepts and applications; regression and neural networks.

Responsibilities

• Develop and deploy Digital Twins and predictive models for semiconductor domains.
• Create physics-informed AI models for yield, reliability, and design-space exploration.
• Apply ML and multi-physics methods to complex challenges in device manufacturing.
• Utilize GenAI, LLM copilots, RAG systems, and AI workflows to integrate tools and data.
• Collaborate with global teams to translate insights into technology decisions.
• Publish reports and conference papers; contribute to technical documentation.

Skills

Independence

Algorithm development

Numerical methods

Machine learning

Python

C++

Team collaboration

Communication

Education

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

Tools

OpenFOAM

ANSYS Fluent

COMSOL

HPEM

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.

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

To request assistance with the application process and/or for reasonable accommodations, please contact [e-mail]

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.