Data Scientist — Fusion Simulation & Uncertainty

Fuse; San Leandro (CA); On-site; USD 145,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Relocation assistance

Flexible time off

2 weeks of paid time off at year end

Leave for new parents

Job summary

Fuse, based in California, seeks a deep expert to build and evolve our in-house fusion simulation stack. You will model pulsed-power, radiation, and diagnostics, moving beyond curve fits to physics-based predictions that scale for research and operations.

This hands-on role requires a PhD and strong coding in Python and legacy C++/Fortran, with a track record in HPC workflows, Bayesian uncertainty analysis, and scalable simulations.

Qualifications

• PhD in Physics, Applied Mathematics, Plasma Physics, Computational Science, Nuclear Engineering, or a closely related field. An exceptional Master's candidate with a strong publication record will be considered.
• Strong academic record with a high GPA from a competitive program.
• Depth in at least one: magnetohydrodynamics, kinetic plasma theory, radiation transport, or pulsed-power circuit modeling.
• Fluency in vector and tensor calculus, Maxwell's equations, Bayesian statistics, and optimization under constraints.
• Production-grade Python with NumPy/SciPy/xarray/JAX/PyTorch; comfortable with C++ or Fortran when needed.
• Experience writing simulation code from scratch; ability to read a physics paper and assess applicability.

Responsibilities

• Build a coupled simulation framework for pulsed-power, plasma dynamics, and neutron/x-ray production.
• Implement radiation source-term models and surrogate/reduced-order models for fast parameter sweeps.
• Develop data pipelines integrating diagnostics and predicted outputs for residual analysis.
• Quantify uncertainty with Bayesian inference and identifiability analysis.
• Simulate machine outputs like electrode lifetimes and capacitor-bank aging to guide operations.

Skills

PhD in Physics

HPC experience

Python (NumPy/SciPy)

C++/Fortran

Magnetohydrodynamics

Radiation transport

Bayesian statistics

Modeling from physics data

Education

PhD in Physics/Applied Math/Plasma Physics/Nuclear Eng

Exceptional Master's with strong publication

Tools

NumPy/SciPy/xarray

JAX/PyTorch

C++/Fortran

GPU/HPC toolchains (SLURM)

Job description

Fuse, based in California, seeks a deep expert to build and evolve our in-house fusion simulation stack. You will model pulsed-power, radiation, and diagnostics, moving beyond curve fits to physics-based predictions that scale for research and operations.

This hands-on role requires a PhD and strong coding in Python and legacy C++/Fortran, with a track record in HPC workflows, Bayesian uncertainty analysis, and scalable simulations.