Senior Super Intelligence Computational Scientist

This is a fully remote position, open to applicants in Idaho.

📋 Description

• Design, implement, document, and support new functionalities within the MOOSE multiphysics framework.

• Develop SI agentic workflows that integrate MOOSE with contemporary SI/ML methodologies to enhance nuclear energy design and licensing.

• Enhance parallel performance and utilize hardware accelerator technologies, such as GPUs, for extensive simulations and SI workflows.

• Create synthetic data at scale for training surrogate models and incorporate them into SI-driven analysis and design workflows.

• Represent the department through collaborations with the DOE, national laboratories, industry partners, academic institutions, and international stakeholders.

• Negotiate and influence shared technical strategies.

• Write technical reports, peer-reviewed papers, proposals, and presentations.

• Identify and cultivate new program opportunities.

• Guide the technical direction for the Multiphysics Computational Frameworks team.

• Support high-fidelity modeling that informs the design and licensing of next-generation nuclear technology.

⛳️ Requirements

• Level 4: A Master's degree in nuclear science, materials science, computational engineering, computational applied mechanics, computer science, engineering, physics, mathematics, or a related field with 6 years of relevant experience; or a PhD in one of these areas with 4 years of pertinent experience.

• Level 5: A Master's degree in one of these disciplines with 8 years of relevant experience; or a PhD in one of these fields with 6 years of relevant experience.

• Proficiency in C++ and Python programming languages.

• Experience in object-oriented programming, finite-element methods, advanced numerical methods for nonlinear analysis, and development of sophisticated engineering analysis software.

• Proven expertise in parallel computing and hardware accelerator technologies (e.g., GPUs) applied to large-scale scientific software.

• Experience with Large Language Models for designing agents, connecting tools using modern protocols like MCP, and other SI agents employing the A2A protocol.

• Must be a US Citizen or a US Green Card holder due to Department of Energy export control regulations.

• Demonstrated leadership in executing large, complex, multidisciplinary programs across various organizations.

• Advanced skills in one or more of the following areas: parallel computing, non-linear solvers, pre-conditioning, application of SI to scientific software, and the development of intricate scientific software for solving partial differential equations using finite element/finite volume methods.

• Practical experience in physics, applied mathematics, machine learning, super intelligence, data science, surrogate modeling, and SI-driven workflows.

• Familiarity with software verification and validation along with a record of accomplishments in peer-reviewed research.

• Ability to meet the physical requirements of the role, including occasional lifting or moving of up to 25 pounds.

• Males born after December 31, 1959 must have registered with the Selective Service System to qualify for employment at INL.

• Submission of a resume and completion of all application questions are mandatory.

🏝️ Benefits

• Medical, Dental, Vision, and Flexible Spending Accounts.

• 401(k) with a 4.2% employer contribution and up to 4.8% matching for regular positions.

• Paid time off (personal leave).

• Employee Education Program (tuition assistance for eligible positions).

• Comprehensive Relocation Package.

• 9x80 schedule with every other Friday off.

• Option for remote work.

• Reasonable accommodations may be provided for applicants with disabilities.

• H1-B visa sponsorship is not available for applicants located outside the United States of America (U.S.A.).