Computational Scientist, Differentiable Physics

Highlights

• Build differentiable solvers for multi-scale, multi-physics continuum problems.
• Tackle data-limited domains mixing physics-based and empirical approaches.
• Validate models against experiments and trusted high-fidelity benchmarks.

What they offer

• Equity

Ideal candidate

Physics-minded builder with deep continuum intuition who loves turning equations into working code and pairing first-principles models with learning to solve real engineering problems.

Requirements

• PhD or equivalent research experience in applied mathematics, computational science, physics, engineering, computer science, or related field
• Code-level experience building or substantially modifying PDE solvers, numerical methods, or differentiable simulations
• Deep expertise in at least one continuum domain, with breadth or ability to learn new physics quickly
• Meaningful experience building, training, and evaluating deep-learning models for physical systems
• Strong Python and software-engineering skills, especially JAX, PyTorch, Julia, or C++
• Experience applying simulation to realistic scientific or engineering problems, not only clean academic benchmarks
• Startup mentality: ownership, good judgment under uncertainty, and enthusiasm for building from scratch
• Bachelor's degree or similar experience