AI Physics Engine to replace simulations and prototypes. Backed by Y Combinator.
About the role
We are seeking a Founding Simulation & Data Engineer to help us build and scale the world's first Physics Foundation Model. This role is a strategic pillar, focusing on defining the data engine and validation strategy required to ensure our models accurately capture the complex physical world.
What they're looking for
- Hands-on CAD generation and Simulation Expertise: Deep experience with one or more simulation domains (e.g., CFD, FEM, DEM) and commercial or open-source solvers (e.g., Star-CCM+, Fenics/dolfinx, OpenFOAM)
- Robust Programming Skills: Strong proficiency in Python is a must. Experience with C++ or other compiled languages for performance-critical tasks is a big plus
- Data Pipelining Experience: Proven track record of building and managing data pipelines for large datasets, preferably in a scientific or engineering context
- Problem-Solving Mentality: A demonstrated ability to creatively solve complex, unstructured problems
More about this role
At Godela, we're building the first Physics Foundation Model; a physics-informed AI platform learns from simulation, experiment, and equations to instantly predict and simulate physical behavior.
At Godela, our vision is to push the boundaries of scientific discovery and engineering innovation. We’re scaling deep-learning surrogates so every engineer has the power of an R&D lab at their fingertips to turn months of simulation and experimentation into minutes.
We are seeking a Founding Simulation & Data Engineer to help us build and scale the world's first Physics Foundation Model. This role is a strategic pillar, focusing on defining the data engine and validation strategy required to ensure our models accurately capture the complex physical world.
- Define the methodology for representing physical systems in data and models—balancing accuracy, scale, and generalization.
- Own the strategy for validating and verifying our model outputs against ground-truth simulation and experimental data.
- Generate and curate simulation data across multiple physics domains (CFD, FEA, multiphysics), ensuring high-fidelity coverage of complex behaviors.
- Build scalable pipelines and standards for...
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