Senior Engineer, Advanced Process Modeling

Micron Technology; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Micron Technology in Hyderabad's AMAIS Group seeks a skilled modeling engineer to develop and validate process/structure models using ML and statistical methods. This role focuses on building predictive analytics and decision-support systems for memory development and manufacturing teams.

You will work in a multi-functional team, implement numerical models, and report results to the AMAIS group, enabling next steps in technology development and manufacturing.

Qualifications

• Independence to execute activities and needs.
• Experience with algorithm development, numerical methods, and scientific computing.
• Familiarity with machine learning and deep learning concepts and applications.

Responsibilities

• Develop and validate process/structure models using ML and statistical techniques.
• Build predictive analytics and decision-support data systems.
• Report results to the AMAIS team and collaborate on next steps.

Skills

Independence

Algorithm development

Scientific computing

Computational materials science

Machine learning

Neural networks

Thermodynamics

Physics

Chemistry

Multi-physics modeling

Linux experience

Python

C++

Communication

Remote collaboration

Debugging

Report writing

Semiconductor process background

Education

Master's degree in a related field

PhD in a related field

Tools

OpenFOAM

ANSYS Fluent

COMSOL

FEM

FVM

PFM

Python

C++

Linux

Bash

MATLAB

Perl

Job description

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 - Advanced Modeling and AI Solutions (AMAIS) Group in Hyderabad, you will work in a multi‑functional team of engineers highly skilled in the modeling of process, equipment, structures, and materials. This team’s primary responsibility is to support and enable solutions to Micron’s most significant challenges in memory development and manufacturing.

Your role will be to work on a project that directly supports one of our group’s critical programs. This project will involve materials or structure or process modeling. You will be responsible for developing and validating process/structure models using machine learning and statistical techniques, to build state‑of‑the‑art products/solutions that help in predictive analytics, prescriptive solutions, decision support, and decision automation data systems for our technology development and manufacturing teams. You are expected to work in a dynamic and fast‑paced team environment developing models and reporting results to the AMAIS team and collaborating with them on next steps. This position seeks individuals that can code, implement, and utilize numerical models.

Qualifications

• Independence – be comfortable executing activities and needs
• Experience in algorithm development, numerical methods, and scientific computing
• Experience with computational materials science methodologies
• Familiarity with machine learning and deep learning concepts and applications
• Experience with regression, neural networks, and frameworks
• Strong background in thermodynamics, physics, and chemistry
• Experience with process and multi-physics modeling, and implementation
• Experience with OpenFOAM, ANSYS Fluent, COMSOL, and familiarity with the FEM, FVM, PFM methods and implementations
• Experience with common modeling software, previous software development and Linux experience
• Experience with Bash, Python, Perl/Tcl/MATLAB, or C++
• Experience with reports and presentations customized for users and leaders
• Outstanding teamwork and experience with remote collaboration tools
• Strong debug and problem‑solving skills
• Experience writing reports and conference papers
• Excellent written and verbal communication
• Background in semiconductor process development or integration is encouraged
• Familiarity of using AI tools is a plus

Experience

3+ years of modeling

Education

Master’s or Ph.D. in Applied Mechanics, Applied Chemistry, Applied Physics, Materials Science, Mechanical Engineering, Electrical Engineering, or related fields.

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.