Data Scientist
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Before you apply
SalaryNo pay range posted
LocationSan Leandro, California
Work modeon-site
Typefull-time
SenioritySenior
DepartmentEngineering / Technical Ops.
Company size201–500 people
PostedAug 19, 2026 · 2mo ago
Verified live12m ago
At a glanceSummarised by Seekless from the posting.
PhD in Physics, Applied Mathematics, Plasma Physics, Computational Science, Nuclear Engineering, or a closely related field
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 other areas of: magnetohydrodynamics, kinetic plasma theory, radiation transport, or pulsed-power circuit modeling
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
Exceptional Master's candidate with a strong publication record will be considered
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
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
Skills
Python
NumPy
SciPy
xarray
JAX
PyTorch
C++
Fortran
MCNP
GEANT4
FLUKA
LSP
EPOCH
WarpX
USim
FLASH
HYDRA
Lee model
GORGON
SLURM
MPI
GPU
Benefits
Medical insurance
Dental insurance
Vision insurance
Relocation assistance
Flexible time off
Paid time off
Leave of absence
Paid parental leave
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.