Digital Twin Engineer

CADFEM APAC; Hyderabad; On-site; INR 700,000 - 1,100,000; Full time

Job summary

CADFEM APAC is seeking a Digital Twin Engineer in Hyderabad with strong Python skills and hands-on CFD experience. You will help develop Digital Twin solutions for engineering systems, perform CFD simulations, and analyze results to support predictive engineering applications.

The role involves processing, visualising and interpreting simulation data, and developing predictive models from CFD outputs. Experience with ANSYS tools is advantageous, and a passion for AI/ML in data‑driven engineering

Qualifications

• Fundamental CFD/FEA/Multiphysics concepts.
• Interest in Digital Twins, AI/ML, or predictive models.
• Exposure to ANSYS tools (Fluent/Mechanical/Twin Builder).
• Basic knowledge of Python.

Responsibilities

• Assist in developing Digital Twin solutions for engineering systems and applications.
• Perform CFD simulations and analyse simulation results for predictive engineering applications.
• Use Python to process, analyse, visualise, and interpret engineering simulation data.
• Develop and validate predictive models using simulation data.
• Support the integration of simulation results and data‑driven models into Digital Twin workflows.
• Compare model predictions with simulation results and available experimental data.
• Document simulation methodologies, modelling approaches, validation results, and technical findings.
• Collaborate with CADFEM engineers and university researchers on Digital Twin development and implementation.
• Continuously learn and apply new tools and techniques in CFD, Python programming, and Digital Twin technologies.

Skills

CFD basics

Python programming

Digital Twin interest

AI/ML interest

Education

M.Tech (Mechanical/Aerospace)

Tools

ANSYS Fluent

ANSYS Mechanical

Twin Builder

Job description

Job Description:

Job Summary

We are looking for a technically strong candidate for the Digital Twin Engineer position, with strong Python programming skills and hands‑on experience in CFD simulations.
The ideal candidate should have a good understanding of Digital Twin development, predictive modelling, and data‑driven engineering.

Key Responsibilities

• Assist in developing Digital Twin solutions for engineering systems and applications.


• Perform CFD simulations and analyse simulation results for predictive engineering applications.


• Use Python to process, analyse, visualise, and interpret engineering simulation data.


• Develop and validate predictive models using simulation data.


• Support the integration of simulation results and data‑driven models into Digital Twin workflows.


• Compare model predictions with simulation results and available experimental data.


• Document simulation methodologies, modelling approaches, validation results, and technical findings.


• Collaborate with CADFEM engineers and university researchers on Digital Twin development and implementation.


• Continuously learn and apply new tools and techniques in CFD, Python programming, and Digital Twin technologies.

Requirements

Required Skills:

• Basics of CFD / FEA /Multiphysics.


• Interest in Digital Twins, AI/ML, or predictive models.


• Exposure to ANSYS tools (Fluent, Mechanical, Twin Builder academic exposure is sufficient).


• Basic knowledge of Python is mandatory.

Education

• M.Tech (Mechanical/ Aerospace / Chemical / Electrical / Mechatronics / Applied Physics).

Commitment

• 3 years of commitment with the organization.