Fuse
Data Scientist
$145K–$190K
San Leandro, California · Full-time · Posted Aug 19, 2026
- Education
- 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.
- Visa sponsorship
- Must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
About the job
Build Fuse’s in-house simulation and inference stack to predict fusion-machine behavior, analyze experimental shot data, and inform design and operations decisions.
What you'll do
- Develop coupled physics simulations and radiation source-term models for the DPF, and create surrogate and reduced-order models.
- Build shot-diagnostic data pipelines and use Bayesian inference, residual analysis, and uncertainty quantification to evaluate model predictions.
- Simulate supporting machine outputs, document and review code, and eventually grow a simulation team.
What they ask for
- PhD in a closely related field; an exceptional Master's candidate with a strong publication record will be considered.
- Demonstrable depth in at least one of magnetohydrodynamics, kinetic plasma theory, radiation transport, or pulsed-power circuit modeling; familiarity with the others.
- Fluency in the stated mathematics and physics, including Bayesian statistics and constrained optimization.
- Production-grade Python, experience writing simulation code from scratch, and ability to assess the applicability of physics papers.
Nice to have
- Experience with listed simulation codes, fitting models to noisy experimental diagnostics, or HPC.
- Familiarity with DPF or adjacent fields, and strong software-engineering hygiene.
Pay
$145K – $190K (base salary; currency not stated)
Tools
Python, NumPy, SciPy, xarray, JAX, PyTorch, C++, Fortran
Model-written summary · the original posting is authoritative