Data Scientist
Company websitef.energy (Fuse, opens in new tab)
Base salary $145K to $190K
Employer-published annual base salary, USD. Advertised base range in San Leandro, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Leandro, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
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.
Source: Fuse on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($145,000) is above 14% of the 1,485 Data & ML roles in California listed on this site; 8 others list the same floor. Their median floor is $190,000; the middle half runs from $160,000 to $229,900.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingData Scientist$145K to $190K
Computational Physicist$150K to $200K
Director of Commercial Partnerships$150K to $225K
Director, Defense Prime Partnerships$150K to $225K
Capture & Proposal Writer$160K to $220K
Robotics & Automation Engineer$125K to $165K
Director of Contracts$180K to $250K
Chart as a table
| Role | Published base |
|---|---|
| Data Scientist (this listing) | $145K - $190K |
| Computational Physicist | $150K - $200K |
| Director of Commercial Partnerships | $150K - $225K |
| Director, Defense Prime Partnerships | $150K - $225K |
| Capture & Proposal Writer | $160K - $220K |
| Robotics & Automation Engineer | $125K - $165K |
| Director of Contracts | $180K - $250K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-08-19
Where this pay comes from
Location as the employer wrote it: San Leandro, California
USD 145,000 – 190,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
