{"id":854643,"url":"https://alion.io/job/f-data-scientist","title":"Data Scientist","company":{"id":691631,"name":"Fuse","domain":"f.energy","url":"https://alion.io/company/f-2","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":78,"open_postings":10,"ghost_share":0,"stale_share":0.9,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Leandro, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":145000,"max":190000,"currency":"USD","period":"year","gross":null,"usd_annual":190000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Fortran","optional":false},{"name":"HPC","optional":false},{"name":"JAX","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"SciPy","optional":false},{"name":"MCNP","optional":true},{"name":"SLURM","optional":true}],"status":"live","first_seen_at":"2026-08-19T05:35:46Z","employer_posted_date":"2026-08-19","last_verified_at":"2026-11-01T07:47:56Z","board_verified":true,"closed_at":null,"days_open":74,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":74},"description":"About Fuse\nWe 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.\nAbout the Role\nYou 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.\nCore Responsibilities\nBuild 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.\n\nImplement radiation source-term models: thermonuclear vs. beam-target neutron-yield decomposition, bremsstrahlung and line-emission spectra, and anisotropy.\n\nDevelop surrogate and reduced-order models so designers and physicists can iterate on parameter sweeps without standing up an HPC job each time.\n\nBuild 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.\n\nQuantify uncertainty seriously: Bayesian inference over model parameters, identifiability analysis, and honest error bars on yield predictions.\n\nStand 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.\n\nPublish internally with the same standards you'd publish externally: derivations written out, assumptions stated, code reviewed.\n\nEventually grow a small simulation team. For now, you will be a force multiplier of one.\n\nMinimum Qualifications\nPhD 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.\n\nStrong academic record, with a target GPA of 3.8+ from a competitive program.\n\nDemonstrable depth in at least one of: magnetohydrodynamics, kinetic plasma theory, radiation transport, or pulsed-power circuit modeling. Familiarity with the others.\n\nFluency in vector and tensor calculus, Maxwell's equations in arbitrary geometries, hyperbolic PDEs and numerical schemes, Bayesian statistics, and optimization under constraints.\n\nProduction-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.\n\nExperience writing simulation code from scratch, not just running someone else's solver.\n\nAbility to read a physics paper, identify the load-bearing assumption, and determine quickly whether it applies to our regime.\n\nPreferred Qualifications\nHands-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.\n\nPrior work fitting models to noisy experimental diagnostics, including neutron TOF, X-ray spectroscopy, or magnetic-probe arrays.\n\nHPC experience including SLURM, MPI, GPU acceleration, and profiling at scale.\n\nFamiliarity with the DPF literature or adjacent fields such as Z-pinch, MagLIF, or ICF, and a track record of getting up to speed quickly.\n\nStrong software-engineering hygiene: version control, tests for numerical code, and reproducible environments.\n\nWhat We Value\nGive a shit. Build things you're proud of.\n\nTake responsibility. If something is broken and you can fix it, fix it. See things through.\n\nMove fast. Make decisions, learn quickly, and keep moving forward.\n\nThink bigger. Simplify relentlessly. Don't default to the safe answer.\n\nDisagree and commit. The best idea wins. Once a decision is made, we move.\n\nDesire to win. This is hard. Expect intensity. We are here to win.\n\nPlan B is to make Plan A work.\n\nAdditional Requirements\nThis is not a remote position and will require relocation if not already local to the applicable Fuse facility.\nBenefits\nMedical, dental, and vision coverage.\n\nRelocation assistance for roles that require it.\n\nFlexible time off. Take what you need, no accrual tracking.\n\n2 weeks of paid time off built into the end of each year, subject to team and business needs.\n\nSupportive leave of absence policies.\n\nPaid leave for new parents.\n\nITAR Requirements\nTo 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.\nEqual Opportunity\nFuse 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.","description_format":"text","description_chars":5387,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible time off","Relocation assistance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Nuclear Energy"],"lifecycle":[{"event":"open","at":"2026-09-13T05:41:29Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.254,"p_room":0.28,"age_days":74,"expected_fill_days":30,"reasons":["conf:2","stale_co","velocity","win:tail","crowd:"],"computed_at":"2026-11-01T06:10:25Z"},"pay":{"stated_usd_annual":190000,"is_top_pay":true},"html_url":"https://alion.io/job/f-data-scientist","json_url":"https://alion.io/job/f-data-scientist.json","meta":{"generated_at":"2026-11-01T11:24:36Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":17629,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":691631},"rest":"https://alion.io/mcp/rest/get_company?id=691631"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ff-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ff-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ff-data-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/f-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ff-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":854643}},{"tool":"search_jobs","arguments":{"company":"f.energy","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":854643},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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