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Aalo Atomics

Advanced nuclear technology licensing and deployment

Material Performance Modeling - Core & Fuel

Mechanical EngineeringUpdated on Nov 13
Full-timeNo salary listed

About the Job

Requirements

  • A degree in nuclear engineering, mechanical engineering, materials science, computational engineering, or a related field is required.
  • Strong grounding in material behavior, heat transfer, solid mechanics, and numerical modeling is required.
  • The candidate must be able to construct models that accurately represent the important physics, rather than simply operate analysis software.
  • Experience with finite-element or multiphysics analysis is required.
  • Proficiency with Python for engineering analysis and visualization is required.
  • Understanding of model verification and validation, software quality assurance, and reproducible analysis is required.
  • The candidate must be able to work effectively with mechanical designers and engineers across materials, neutronics, and thermal hydraulics.
  • Sound technical judgment appropriate to the candidate’s level of experience is required.
  • The candidate must be able to learn quickly, work with incomplete data, and clearly identify model limitations.
  • The candidate must be based in the United States and willing to work on-site in Austin, Texas, or Idaho Falls, Idaho.
  • Applicants must be U.S. Citizens or U.S. Persons in compliance with 10 CFR Part 810 and may not hold non-compliant foreign citizenships.

Responsibilities

  • Develop and apply models for fuel, graphite, and core metallic components using BISON/MOOSE and related tools.
  • Predict how irradiation, temperature, stress, chemistry, and operating history affect component dimensions, material properties, structural behavior, and service life.
  • Work directly with mechanical designers to evaluate materials, geometry, tolerances, clearances, interfaces, and lifetime margins.
  • Integrate inputs from neutronics and thermal hydraulics, and assess how changes in reactor conditions or component design affect in-core degradation and performance.
  • Translate modeling results into actionable design inputs, operating limits, test needs, and lifetime criteria.
  • Develop or adapt material and constitutive models where existing capabilities do not adequately represent the relevant physics.
  • Use Python for data processing, analysis automation, visualization, and communication of results.
  • Apply rigorous software quality assurance, verification, validation, sensitivity analysis, and uncertainty quantification.
  • Develop defensible, physics-based analysis methods where established codes or directly applicable design rules are insufficient.
  • Use AI-assisted tools to accelerate analysis, model development, data review, and documentation while maintaining technical traceability and independently verifying results.
  • Clearly communicate model assumptions, limitations, uncertainties, and conclusions across engineering teams.

Desired Qualifications

  • BISON/MOOSE experience is strongly preferred.

About the Company

Aalo Atomics

Advanced nuclear technology licensing and deployment

Aalo Atomics develops and deploys advanced nuclear energy systems to provide reliable, low-carbon power. It licenses technology, forms partnerships, and runs energy production projects for governments, large corporations, and energy providers. The company relies on multidisciplinary R&D to bring nuclear solutions to market, drawing talent from computer hardware, software, aerospace, and automotive sectors and navigating regulatory approval as part of its business model. Unlike wind and solar, its products aim to deliver continuous electricity at competitive costs, supported by a diverse ecosystem of partners and clients. Aalo also focuses on public education about nuclear energy’s risks and benefits and to attract the next generation of engineers. Its goal is to usher in a second Atomic Age by delivering abundant, dependable clean energy to power humanity for generations.

Company size
51-200
Company stage
Series B
Total funding
$133.3M
Headquarters
Austin, TX
Founded
2023

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