Savannah River National Laboratory (SRNL), a national laboratory under the stewardship of the U.S. Department of Energy (DOE) Office of Environmental Management (DOE-EM), is seeking an accomplished and collaborative Group Manager to lead the Research Computing and Computational Sciences (RCCS) group within the newly formed Energy Sciences and Engineering (ESE) Division, part of the Science, Energy, and Innovation (SEI) Directorate.
RCCS is one of four founding groups within ESE, alongside Energy Material Sciences, Advanced Manufacturing and Automation, and Fusion Energy and Isotope Science. The group exists to make computational capability a strategic asset for the entire laboratory — spanning both the research computing infrastructure the laboratory's science depends on and the digital twin, modeling, and simulation methodologies that turn computation into scientific insight. This is cross-cutting capability that other groups, programs, and application areas draw on and build with; the Group Manager is accountable for making sure that foundation is technically rigorous, shared rather than duplicated, and genuinely co-owned with the partners who depend on it — most notably OCIO on the infrastructure side and application areas like fusion, grid, and separations on the methodology side.
As a line leader reporting to the ESE Division Director, the Group Manager is accountable for the stewardship, development, and support of the group's people; the creation of an environment where computational research thrives; and the execution of technical work that aligns with the strategic direction set by the Division Director and SRNL leadership. Because RCCS operates by design as a genuine partnership rather than a stand-alone technical authority, the Group Manager also carries distinctive accountability for navigating shared decision rights with OCIO and with application-area leadership, and for escalating cleanly to joint leadership review when agreement isn't reached rather than allowing ambiguity to stall the work.
This role requires deep technical credibility in research computing, computational science, or a closely related discipline, a demonstrated record of developing researchers and research leaders, and the judgment to prioritize across a portfolio that spans infrastructure stewardship, methodology development, and direct embedding in application-area teams. Success is measured on the group's collective impact: the quality and trajectory of its science, the development and retention of its staff, the strength and health of its partnerships with OCIO and application areas, and its operational and safety excellence.
