# Data Scientist - Company: [Fuse]() - Location: San Leandro, California - Team: Engineering / Technical Ops\. - Employment type: Full Time - Salary: $145K – $190K - Posted: August 19, 2026 ## Job description ## **About Fuse** We are building one of the most potentially consequential companies of the century. Our mission is to accelerate the world's transition to fusion energy while safeguarding humankind. This is not a normal company. This is not a normal job. We are committed for the long term to win. ## **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. ## **Core Responsibilities** * 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. * Implement radiation source-term models: thermonuclear vs. beam-target neutron-yield decomposition, bremsstrahlung and line-emission spectra, and anisotropy. * Develop surrogate and reduced-order models so designers and physicists can iterate on parameter sweeps without standing up an HPC job each time. * Build the data pipeline that ingests every shot's diagnostic stream, including Rogowski coils, B-dots, silver activation, time-of-flight neutron detectors, filtered diodes, and fast cameras, and joins it to predicted output for systematic residual analysis. * Quantify uncertainty seriously: Bayesian inference over model parameters, identifiability analysis, and honest error bars on yield predictions. * Stand up simulations of supporting machine outputs, including anode/cathode lifetimes, electrode erosion models, and capacitor-bank aging, so operations decisions are informed by physics rather than vibes. * Publish internally with the same standards you'd publish externally: derivations written out, assumptions stated, code reviewed. * Eventually grow a small simulation team. For now, you will be a force multiplier of one. **Minimum 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 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. * Ability to read a physics paper, identify the load-bearing assumption, and determine quickly whether it applies to our regime. ## **Preferred Qualifications** * Hands-on experience with one or more of: MCNP, GEANT4, FLUKA, PIC codes such as LSP, EPOCH, or WarpX; MHD codes such as USim, FLASH, or HYDRA-class; or DPF-specific codes such as Lee model or GORGON-adjacent work. * Prior work fitting models to noisy experimental diagnostics, including neutron TOF, X-ray spectroscopy, or magnetic-probe arrays. * HPC experience including SLURM, MPI, GPU acceleration, and profiling at scale. * Familiarity with the DPF literature or adjacent fields such as Z-pinch, MagLIF, or ICF, and a track record of getting up to speed quickly. * Strong software-engineering hygiene: version control, tests for numerical code, and reproducible environments. ## **What We Value** * Give a shit. Build things you're proud of. * Take responsibility. If something is broken and you can fix it, fix it. See things through. * Move fast. Make decisions, learn quickly, and keep moving forward. * Think bigger. Simplify relentlessly. Don't default to the safe answer. * Disagree and commit. The best idea wins. Once a decision is made, we move. * Desire to win. This is hard. Expect intensity. We are here to win. * Plan B is to make Plan A work. ## **Additional Requirements** This is not a remote position and will require relocation if not already local to the applicable Fuse facility. ## **Benefits** * Medical, dental, and vision coverage. * Relocation assistance for roles that require it. * Flexible time off. Take what you need, no accrual tracking. * 2 weeks of paid time off built into the end of each year, subject to team and business needs. * Supportive leave of absence policies. * Paid leave for new parents. ## **ITAR Requirements** To conform to U.S. Government technology export regulations, including the International Traffic in Arms Regulations (ITAR), you 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. ## **Equal Opportunity** Fuse is an Equal Opportunity Employer; employment with Fuse is governed on the basis of merit, competence, and qualifications and will not be influenced by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, ancestry, immigration status, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. ## Apply [Apply on Fuse]() Canonical job page: