DeepSim is seeking an **AI Physics Engineer** to help build the next generation of fast, scalable physics simulation technology. This role is ideal for someone who has expertise at the intersection of modern AI models and physics-based modeling and who is excited to transform how engineers simulate complex physical systems.
### **Responsibilities**
* Design and implement AI-accelerated physics models with a focus on thermal, mechanical, or fluid domains.
* Train, evaluate, and refine machine learning models to improve simulation speed, accuracy, stability, and generalization.
* Develop high-quality synthetic dataset generation pipelines.
* Contribute to research directions by identifying opportunities for new modeling approaches, data strategies, and performance improvements.
* Collaborate closely with physics, AI, and platform engineers to integrate models into production-grade simulation tools.
### **Qualifications**
* Strong background in building and training AI or ML models, including dataset creation and preprocessing for scientific/engineering applications.
* Experience in physics simulations, ideally for **thermal, solid mechanics,** or **fluid flow** problems. Background in numerical methods and experience developing numerical analysis tools (especially for physics PDEs) are a big plus.
* Solid foundation in linear algebra.
* Proficiency with scientific computing tools (e.g., NumPy, PyTorch, JAX, or similar).
* **Master’s or PhD in engineering, computer science, physics, applied math, or a related field.**
* Comfort working in fast-paced research and production environments.
Visa sponsorship is not available for this role.
