The Role
Develop and support Digital Twin solutions for engineering systems. Perform CFD simulations, analyze simulation data with Python, build predictive models, integrate simulation and data-driven models, and validate results against experimental data. Document methodologies and collaborate with engineering teams and university researchers. The role requires foundational CFD, FEA, multiphysics, ANSYS, and Python knowledge, plus a three-year organizational commitment.
Summary Generated by Built In
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.
Skills Required
- Basics of CFD, FEA, and multiphysics
- Interest in Digital Twins, AI/ML, or predictive models
- Exposure to ANSYS Fluent, Mechanical, or Twin Builder; academic exposure is sufficient
- Basic Python knowledge
- M.Tech in Mechanical, Aerospace, Chemical, Electrical, Mechatronics, or Applied Physics
- Three-year commitment with the organization
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The Company
What We Do
CADFEM India Pvt Ltd is the Indian operation of CADFEM, a simulation and digital-engineering provider. The company supplies engineering simulation software and hardware, supports Ansys users, and delivers consulting, implementation, engineering, workflow-automation, and training services. Its solutions help organizations apply numerical simulation in product development and research, with expertise spanning many industries and applications, including aerospace and defense. The India role specifically serves government aerospace and defense customers.
