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 valuable 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
- 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.
- Job Type: Full time
- Location: Hyderabad, Telangana, India
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.