Group Manager – Scalable Algorithms, Modeling, and Simulation
Listed on 2026-08-06
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Research/Development
Data Scientist, Research Scientist, AI Business & Operations
Posting Title
Group Manager – Scalable Algorithms, Modeling, and Simulation
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LocationCO - Golden
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Position TypeRegular
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Hours Per Week40
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Working at NLRNLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation’s primary laboratory for energy systems research and development.
Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions.
Our work helps strengthen U.S. industries, support job creation, and promote national economic growth.
At NLR, you’ll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being.
Job DescriptionThe National Laboratory of the Rockies (NLR) is seeking an accomplished leader for the role of group manager within the Computational Science Center (CSC) with foci on Scalable Algorithms, Modeling, and Simulation. NLR’s Computational Science Center conducts research to advance the science of computing across advanced computer science, visualization, data science, AI/ML, applied math, and computational science, as well as providing computing expertise to the NLR community and staffing for project execution.
The core mission of the Scalable Algorithms, Modeling, and Simulation (SAMS) group is at the intersection of applied mathematics and computational science for research; it includes basic and applied research in numerical methods, algorithms, and simulation code capability to address challenges in a wide variety of fluid flow regimes, including both internal and external flows in support of the NLR mission.
The SAMS group is a broad, multidisciplinary organization, containing key institutional capabilities in fluid mechanics, computer science, applied mathematics, and simulation science. Collaboration is at the heart of our work — our researchers partner with scientists across NLR to deeply understand their computational challenges and co-develop tailored solutions, including cross-cutting capabilities for fluid mechanics simulation that enables rapid progress and deployment in the NLR mission space.
Reporting to the CSC Center Director, the Group Manager will oversee the SAMS group, driving excellence in organizational management and advancing strategic capabilities and programs that align with the center’s and NLR’s vision, strategy, and mission. As the manager of this group, the successful candidate will build on the capabilities established across this and other groups in the CSC. They will have the opportunity to shape the group’s strategic plan.
The candidate will translate strategic plans into actionable execution, deliver value over time, and maintain an active role in technical contributions. Additionally, they will collaborate with center leadership to develop new programs and business lines, enhancing the group’s capabilities to further NLR’s mission.
The position will require a combination of technical, managerial, and interpersonal skills. From a technical side, the manager will need to have a deep understanding of computational simulation concepts, such as scalable CFD discretization and algorithms, multiphysics/multiregime fluid modeling, linear and nonlinear solvers at scale, time integration and stability, geometry, meshing, and adaptation pipelines, high-performance computing and performance portability, and cross-domain co-design and impact.
The candidate should have a record of scientific accomplishment and programmatic delivery in these areas.
From a leadership perspective, the candidate must…
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