Digital Twin Engineer

Cadfem; Hyderabad; On-site; INR 600,000 - 1,000,000; Full time

Job summary

Cadfem in India seeks a Digital Twin Engineer with strong CFD experience and Python skills to join our team in Hyderabad. The role focuses on developing Digital Twin solutions, running CFD simulations, and using data-driven approaches for predictive engineering applications.

You will process and visualize simulation data with Python, develop and validate predictive models, and collaborate with researchers to integrate results into Digital Twin workflows.

Qualifications

• Strong understanding of CFD/FEA and multiphysics.
• Interest in Digital Twins, AI/ML, and predictive modeling.
• Exposure to ANSYS Fluent/Mechanical/Twin Builder.
• Basic Python knowledge is mandatory.

Responsibilities

• Assist in developing Digital Twin solutions for engineering systems and applications.
• Perform CFD simulations and analyze results for predictive engineering.
• Use Python to process, analyze, visualize, and interpret simulation data.
• Develop and validate predictive models using simulation data.
• Support integrating simulation results into Digital Twin workflows.
• Compare model predictions with simulations and available experimental data.
• Document methodologies, validation results, and technical findings.
• Collaborate with Cadfem engineers and university researchers on Digital Twin development.
• Continuously learn and apply new CFD, Python, and Digital Twin tools.

Skills

CFD / FEA / Multiphysics

Digital Twins / AI & ML

ANSYS Fluent/Mechanical/Twin Builder

Python basics

Education

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

Job description

We are looking for a technically strong candidate for the DigitalTwin Engineer position, with strong Python programmingskills and hands-on experience in CFD simulations.

The ideal candidate should have a good understanding ofDigital Twin development, predictive modelling, and data-drivenengineering.

Key Responsibilities

• Assist in developing Digital Twin solutions for engineeringsystems and applications.
  
• Perform CFD simulations and analyse simulation results forpredictive engineering applications.
  
• Use Python to process, analyse, visualise, and interpretengineering simulation data.
  
• Develop and validate predictive models using simulationdata.
  
• Support the integration of simulation results and data-drivenmodels into Digital Twin workflows.
  
• Compare model predictions with simulation results andavailable experimental data.
  
• Document simulation methodologies, modelling approaches,validation results, and technical findings.
  
• Collaborate with CADFEM engineers and universityresearcherson Digital Twin development andimplementation.
  
• Continuously learn and apply new tools and techniques inCFD, Python programming, and Digital Twin technologies.
  

Requirements

Required Skills

• Basics of CFD / FEA /Multiphysics.
  
• Interest in Digital Twins, AI/ML, orpredictive models.
  
• Exposure to ANSYS tools (Fluent,Mechanical,Twin Builderacademic exposure is sufficient).
  
• Basic knowledge of Python ismandatory.
  

Education

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

Commitment

• 3 years of commitment with theorganization.