physics informed neural network

PIML /PNN

Location : Noida

Years : 6+ Years

JD details-

Were looking for a Senior Engineer with strong Python and numerical/CAE skills to help build Physics-Informed Machine Learning (PIML) solutions in engineering.

What youll do

• Develop Python-based PIML/PINN models for CAE (computer aided engineering) problems.
• Work with CAE engineers to run parametric FEA, extract data and build training sets.
• Train, validate and benchmark models vs. FEA; improve accuracy and robustness.
• Wrap models as APIs/services and integrate into design space exploration / optimisation workflows.
• Document methods and collaborate with CAE, data science and software teams.

What you need

• Strong Python (NumPy/SciPy/pandas; clean, modular code; Git).
• Experience with PyTorch (or similar) and ML training pipelines.
• Solid understanding of Engineering Physics (solid mechanics, fluid mechanics etc.).
• Hands-on with at least one FEA tool (Abaqus, Ansys, Nastran, Code_Aster, CalculiX, etc.) and scripting.
• Degree in Mechanical/Civil/Aerospace/Applied Math/CS or related.

freshers do not apply for the job