Teams at Periodic Labs

Build differentiable, accelerator-ready continuum-physics simulations, including fluid dynamics and multiphysics problems. Implement and diagnose numerical methods, combine simulations with deep learning for surrogate modeling and inverse problems, and use JAX or PyTorch with automatic differentiation on modern accelerators. Validate models against experiments and benchmarks, create scientific datasets and evaluations for LLM development, and contribute to scalable software for realistic engineering and scientific applications.

Lead full-cycle recruiting for technical and non-technical roles: partner with hiring managers and executives, source and close candidates, ensure a high-quality candidate experience, and continuously improve recruiting processes. Expected to operate independently with strong judgment and ownership; semiconductor recruiting experience is a plus.

As a Product Engineer, you'll prototype and build tools that connect AI models with lab systems, collaborating with scientists and researchers to refine products.