Senior Super Intelligence Computational Scientist

The Scientific Computing and Artificial Intelligence (SCAI) division in NS&T is hiring a Senior Computational Scientist to join the Multiphysics Computational Frameworks department. You will design, implement, and support MOOSE (the Multiphysics Object Oriented Simulation Environment), the open-source framework that enables high-fidelity modeling of real physical systems across nuclear science, environmental science, and beyond, with an active community of international collaborators spanning the US, Europe, and Australia.

This is a role where the framework you strengthen becomes the engine behind faster nuclear energy design and licensing which will provide safe and reliable power for generations to come.

• Design, implement, document, and support new capabilities within the MOOSE framework, from numerical methods to multiphysics coupling, keeping the framework robust enough for researchers around the world to rely upon.
• Build SI agentic workflows that pair MOOSE with modern SI/ML methods to accelerate nuclear energy design and licensing, taking manual, expert-intensive tasks and making them faster and repeatable.
• Optimize parallel performance and exploit hardware accelerator technologies (e.g., GPUs) to push the framework's speed and scale for large, demanding simulations and for use in SI agentic workflows.
• Generate synthetic data at scale to train surrogate models and integrate those models into SI-driven analysis and design workflows.
• Represent the department through partnerships and connections with DOE, other national laboratories, industry, academia, and international collaborators, negotiating and shaping shared technical directions.
• Author technical reports, peer-reviewed publications, proposals, presentations, and identify and develop new program opportunities for the team.
• Candidates at this level are expected to shape technical direction, not just contribute to it.

MOOSE is the computational backbone behind high-fidelity modeling that informs how the nation designs and licenses next-generation nuclear technology. By making that framework faster, smarter, and SI-ready, you directly accelerate the nuclear energy renaissance and reinforce INL's standing as the nation's leading nuclear energy laboratory. Your work on MOOSE turns computational capability into real decisions about how reliable, resilient power generators get built and deployed.

• Level 4:
  Master's degree in nuclear science, materials science, computational engineering, computational applied mechanics, computer science, engineering, physics, mathematics, or another similar degree and 6 years of relevant experience; or PhD in nuclear science, materials science, computational engineering, computational applied mechanics, computer science, engineering, physics, mathematics, or another similar degree and 4 years of relevant experience.
• Level 5:
  Master's degree in nuclear science, materials science, computational engineering, computational applied mechanics, computer science, engineering, physics, mathematics, or another similar degree and 8 years of relevant experience; or PhD in nuclear science, materials science, computational engineering, computational applied mechanics, computer science, engineering, physics, mathematics, or another similar degree and 6 years of relevant experience.
• Proficiency in C++ and Python is required. Object-oriented programming, finite-element methods, advanced numerical methods for nonlinear analysis, and the development of complex engineering analysis software.
• Demonstrated experience in parallel computing and hardware accelerator technologies (e.g., GPUs) applied to large-scale scientific software.
• Experience with Large Language Models…