# Computational Scientist, Differentiable Physics at Periodic Labs

- Company: Periodic Labs
- Status: Open
- Workplace: On-site
- Location: Menlo Park, CA
- Level: Mid-level
- Discipline: AI & ML
- Employment: Full-time
- Posted: 2026-09-04
- Skills: deep learning
- Apply: https://jobs.ashbyhq.com/periodic-labs/ccdb34b1-b67c-4dbf-8acb-fe786f2ab38b

## Description

ABOUT THE ROLE

Periodic Labs is building AI systems that can simulate physical science, verify predictions, and train on the full scientific method. We are looking for a Computational Scientist to build differentiable, accelerator-ready simulations for industrially relevant continuum-physics problems.

You should be equally comfortable with governing equations, solver code, and deep learning. We are open to expertise in any area of continuum-physics, with at least some experience in fluid dynamics. You will work on building simulation capabilities in challenging, data-limited domains requiring a mix of physics-based and empirical approaches.


WHAT YOU’LL DO

 - Build and extend differentiable solvers for continuum simulation (including but not limited to fluid dynamics), especially multi-scale and multi-physics problems.

 - Implement numerical methods from equations and papers, and diagnose convergence, stability, and modeling failures.

 - Combine simulation with deep learning for surrogate modeling, learned physics, inverse problems, parameter estimation, and optimization.

 - Use automatic differentiation and modern accelerators with JAX or PyTorch to make simulations scalable and trainable.

 - Validate models against experiments, trusted benchmarks, or high-fidelity simulations.

 - Create datasets and evaluations to guide the development of LLMs to accelerate and automate these tasks.


YOU WILL THRIVE HERE IF YOU HAVE

 - A PhD or equivalent research experience in applied mathematics, computational science, physics, engineering, computer science, or a related fiel

More Periodic Labs roles: https://deviantjobs.com/companies/periodic-labs