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12 часов назад

Computational Nuclear Engineer (Fusion)

120 000 - 180 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Computational Nuclear Engineer (Fusion) (neutronics and multiphysics simulations): Developing high-fidelity simulations for stellarator fusion systems with an accent on radiation transport, blanket performance, dose calculations, and shielding optimization. Focus on coupling neutronics with thermal-hydraulics or structural analysis, optimizing complex 3D reactor designs, and producing technical reports and publications from simulation results.

Location: Kearny, New Jersey, United States; on-site

Salary: $120,000–$180,000 per year

Company

hirify.global is developing stellarator fusion systems using computer-controlled arrays of planar coils to simplify the design and commercialization of fusion energy.

What you will do

  • Develop high-fidelity neutronics and multiphysics simulation workflows for complex 3D stellarator geometries.
  • Simulate fusion blanket performance, including tritium breeding ratios, energy deposition, material activation, and radiation shielding.
  • Couple neutronics simulations with thermal-hydraulics and structural analysis to refine reactor designs.
  • Calculate dose rates and design shielding for personnel and sensitive equipment.
  • Prepare technical reports, presentations, and publications based on simulation and optimization results.

Requirements

  • PhD in Nuclear Engineering, Computational Physics, Applied Physics, or a related field with 2+ years of experience, or a relevant Master’s degree with 4+ years of experience.
  • Strong knowledge of Monte Carlo radiation transport codes such as OpenMC, MCNP, or Serpent.
  • Proficiency in Python and C++ for scientific computing.
  • Experience with scientific software development practices, including Git, GitHub, and CI.
  • Experience with multiphysics coupling frameworks such as MOOSE, Cardinal, or NekRS.
  • Ability to work independently, solve complex problems, and collaborate with scientists and engineers.

Nice to have

  • Experience with nuclear data processing and libraries such as NJOY.
  • Experience with deterministic neutron transport solvers such as Attila or OpenSN.
  • Familiarity with HPC environments and MPI/OpenMP parallel programming.
  • Experience applying machine learning to nuclear simulation optimization or data handling.
  • Understanding of fusion-specific challenges, including first-wall material damage and tritium fuel cycle management.

Culture & Benefits

  • Startup environment with independent work and project ownership.
  • Collaboration with a diverse team of scientists and engineers.
  • Comprehensive medical, dental, and vision benefits.
  • Employee equity stock options.
  • 20 days of paid time off.

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