Senior Super Intelligence Computational Scientist

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🔥 0 minutes ago

🥔 Idaho – Remote

🥔 Idaho – Remote

💵 $114.4k - $281.2k / year

⏰ Full Time

🟠 Senior

👻 Ghost score 0%

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Idaho National Laboratory

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1949

🎖️ Defense

🏥 Healthcare

💼 Consulting

💰 $7.5M Grant on 2024-08

Defense • Healthcare • Consulting

Idaho National Laboratory is a U. S. Department of Energy national laboratory that conducts research and development in nuclear energy, integrated energy systems, and national security. It operates specialized research and reactor facilities, supports private-sector partnerships and testbeds (including microreactor development), and runs extensive STEM education and community-outreach programs. INL advances scientific knowledge, develops practical energy technologies, and provides unique infrastructure and expertise to support government, industry, and academic partners.

📋 Description

• Design, implement, document, and support new capabilities within the MOOSE multiphysics framework • Build SI agentic workflows combining MOOSE with modern SI/ML methods to accelerate nuclear energy design and licensing • Optimize parallel performance and use hardware accelerator technologies such as GPUs for large-scale simulations and SI workflows • Generate synthetic data at scale to train surrogate models and integrate them into SI-driven analysis and design workflows • Represent the department through partnerships with DOE, national laboratories, industry, academia, and international collaborators • Negotiate and shape shared technical directions • Author technical reports, peer-reviewed publications, proposals, and presentations • Identify and develop new program opportunities • Shape technical direction for the Multiphysics Computational Frameworks team • Support high-fidelity modeling informing next-generation nuclear technology design and licensing

🎯 Requirements

• 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 one of these fields and 4 years of relevant experience • Level 5: Master's degree in one of these fields and 8 years of relevant experience; or PhD in one of these fields and 6 years of relevant experience • Proficiency in C++ and Python • Object-oriented programming, finite-element methods, advanced numerical methods for nonlinear analysis, and 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 for designing agents, connecting tools using modern protocols such as MCP, and other SI agents using the A2A protocol • Must be a US Citizen or US Green Card holder due to Department of Energy export control restrictions • Demonstrated leadership executing large, complex, multidisciplinary programs across multiple organizations • Deep skill in one or more of parallel computing, non-linear solvers, pre-conditioning, application of SI to scientific software applications, and development of complex scientific software for solving partial differential equations using finite element/finite volume methods • Hands-on experience in physics, applied mathematics, machine learning, super intelligence, data science, surrogate modeling, and SI-driven workflows • Experience with software verification and validation and a record of peer-reviewed research accomplishments • Ability to perform the stated physical requirements, 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 be eligible for employment at INL • Resume submission and completion of all application questions required

🏖️ Benefits

• Medical, Dental, Vision, and Flexible Spending Accounts • 401(k) with a 4.2% employer contribution and up to 4.8% match (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 • Remote work option • Applicants with disabilities may receive reasonable accommodation • No H1-B visa sponsorship obtained outside of the United States of America (U.S.A.)