Computational Scientist, Differentiable Physics

Periodic Labs · Menlo Park, CA

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Role summary

Periodic Labs seeks a Computational Scientist to develop differentiable physics simulators for continuum problems, combining numerical methods, deep learning, and modern accelerators. The role involves building scalable solvers, implementing physics-informed models, and creating evaluation frameworks to advance AI-driven scientific simulation.

What they're looking for

PhD or equivalent research experience in applied mathematics, computational science, physics, engineering, or related field
Code-level experience building or modifying PDE solvers, numerical methods, or differentiable simulations
Deep expertise in continuum physics domain with ability to learn new physics rapidly
Experience training and evaluating deep-learning models for physical systems
Strong Python proficiency with JAX, PyTorch, Julia, or C++
Applied simulation experience on realistic scientific or engineering problems
Startup mentality with ownership, judgment under uncertainty, and ability to build independently

What you'll be doing

Build and extend differentiable solvers for continuum simulation including multi-scale and multi-physics problems
Implement numerical methods from equations and literature, diagnosing convergence and stability issues
Combine simulation with deep learning for surrogate modeling, inverse problems, and optimization
Validate models against experiments, benchmarks, and high-fidelity simulations
Create datasets and evaluation frameworks to guide LLM development for task automation

Compensation$250,000-$350,000 base + equity

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Date posted14 days ago

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