# Data Scientist at Fuse

- Company: Fuse
- What the company does: Fuse Energy is building the future of energy with cheaper tariffs, better service, and greener goals. Switch to Fuse Energy today. Backed by Accel.
- Company website: https://www.fuseenergy.com/
- Type: Startups
- Level: Mid level
- Location: San Leandro, California
- Work setup: On-site
- Pay: $145K to $190K base salary per year (USD)
- Posted: 2026-08-19
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/Fuse/7f0dec30-a531-4b55-aa06-0927359eb80d
- Page: https://www.1752.vc/careers/jobs/fuse-data-scientist/

## About the role

You will build our in-house simulation stack — the models that predict what our fusion machines will do, and the inference machinery that pulls physics out of shot data. This is not a “fit a curve to a dashboard” data science role. Build a coupled simulation framework for our DPF: pulsed-power circuit, sheath formation and run-down (snowplow / slug / Lee-type models, progressing toward MHD), pinch and instability development, and neutron and X-ray production.

## What they're looking for

- 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 target GPA of 3.8+ from a competitive program
- Demonstrable depth in at least one of: magnetohydrodynamics, kinetic plasma theory, radiation transport, or pulsed-power circuit modeling. Familiarity with the others
- Fluency in vector and tensor calculus, Maxwell's equations in arbitrary geometries, hyperbolic PDEs and numerical schemes, Bayesian statistics, and optimization under constraints
- Production-grade Python using NumPy, SciPy, xarray, JAX, or PyTorch for differentiable physics, with comfort dropping into C++ or Fortran when Python isn't fast enough
- Experience writing simulation code from scratch, not just running someone else's solver

Tags: Engineering / Technical Ops.