About The Role

About Thea Energy

Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future.

Position Overview

We are seeking a highly motivated Computational Nuclear Engineer to join our team, focusing on neutronics and multiphysics simulations for stellarator fusion systems. The ideal candidate will possess a strong background in computational transport methods, with a particular emphasis on multiphysics reactor design, dose rate calculations, and radiation shielding optimization. You will work with minimal supervision, contributing to cutting-edge research and development to ensure the safety and performance of Thea Energy’s stellarator systems.

Key Responsibility Areas

Develop and implement advanced workflows for high-fidelity neutronics and related multiphysics simulations in complex 3D stellarator geometries.
Conduct simulations of fusion blanket performance, including tritium breeding ratios (TBR), energy deposition, material activation, radiation shielding, and more.
Collaborate with cross-disciplinary teams to perform multiphysics coupling (e.g., neutronics to thermal-hydraulics or structural analysis) to refine reactor designs.
Perform dose rate calculations and design optimized shielding solutions for personnel and sensitive equipment.
Prepare technical reports, presentations, and publications based on simulation results and optimization findings.

Ideal Experience & Skillsets

PhD in Nuclear Engineering, Computational Physics, Applied Physics, or a related field with 2+ years of experience; or a Master’s degree in a relevant field with 4+ years of experience.

Strong knowledge of Monte Carlo radiation transport codes (e.g., OpenMC, MCNP, Serpent).

Proficiency in programming languages commonly used in scientific computing, specifically Python and C++.

Proficiency in modern scientific software development best-practices (e.g. git, GitHub, CI)

Experience in multiphysics coupling frameworks (e.g., MOOSE, Cardinal, NekRS).

Excellent analytical, problem-solving, and communication skills.

Preferred Skills

Experience with nuclear data processing and libraries (e.g., NJOY). Experience with deterministic neutron transport solvers (e.g. Atilla, OpenSN)
Familiarity with High-Performance Computing (HPC) environments and parallel programming (MPI/OpenMP).
Background in applying machine learning techniques to optimize nuclear simulation results or data handling.
Understanding of fusion-specific nuclear challenges, such as first-wall material damage and tritium fuel cycle management.

Personal Attributes

Ability to work independently and manage projects with minimal supervision in a startup environment.
Strong attention to detail and a passion for advancing the field of fusion energy research.
Willingness to collaborate with a diverse team of scientists and engineers within the company and externally.
Persistent optimism and a willingness to take on tough challenges.
Excited to think creatively about solutions to difficult problems and not relying solely on what has been done before.