Senior Engineer, Advanced Process Modeling

1840 Micron Tech. OP India LLP; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

1840 Micron Tech. OP India LLP is seeking a skilled modeling scientist to develop and validate process and structure models using machine learning and statistical techniques.

You will support predictive analytics and decision-making for technology development and manufacturing teams. The role requires a strong foundation in thermodynamics, physics, and chemistry, with experience in computational materials science and open-source tools like OpenFOAM, ANSYS Fluent, and COMSOL.

Qualifications

• 3+ years of modeling experience in a research or industrial setting.
• Strong background in thermodynamics, physics, or chemistry.
• Experience with computational materials science methodologies.
• Proficient in ML/DL concepts and applications.
• Ability to develop and validate process/structure models.
• Familiarity with AI tools is a plus.

Responsibilities

• Develop and validate models for materials/process understanding.
• Build ML and statistical models for predictive analytics and decision support.
• Report results to AMAIS team and collaborate on next steps.
• Work in a dynamic, fast-paced team environment.

Skills

Independence

Algorithm development

Numerical methods

Scientific computing

Machine learning

Deep learning

Regression

Python

C++

Linux

Report writing

Teamwork

Education

Master’s or Ph.D. in Applied Mechanics

Applied Chemistry / Applied Physics / Materials Science / Mechanical Engineering / Electrical Engineering

Tools

OpenFOAM

ANSYS Fluent

COMSOL

FEM

FVM

Python

C++

Linux

Bash

MATLAB

Job description

Responsibilities

Your role is to work on a project that directly supports one of our group’s critical programs. The project involves materials or structure or process modeling. You will develop and validate process/structure models using machine learning and statistical techniques to build state‑of‑the‑art products/solutions that support predictive analytics, prescriptive solutions, and decision support for our technology development and manufacturing teams. You are expected to work in a dynamic, fast‑paced team environment, develop models, report results to the AMAIS team, and collaborate on next steps.

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 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.

Equal Opportunity

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.