Lawrence Livermore is a 5,000+ person federal research laboratory operating across physics, chemistry, engineering, and computational science—with a tech stack balancing legacy scientific computing (MATLAB, LabVIEW, Ansys) against modern ML frameworks (TensorFlow, PyTorch, JAX) and web infrastructure (Python, React, FastAPI). The engineering-dominant hiring profile and active slate of infrastructure modernization projects (NIF laser upgrades, grid resilience, stockpile stewardship modeling) signal a push to retire aging systems while scaling computational capacity for next-generation simulations.
Notable leadership hires: Field Lead, Product Realization Lead, Pulsed Power Technical Lead, Program Director
Lawrence Livermore National Laboratory, located in Livermore, California, is a government-operated applied science laboratory within the Department of Energy's National Nuclear Security Administration. The facility conducts research and development across defense, counterterrorism, nonproliferation, energy security, and fundamental science. With roughly one square mile of operational footprint and a 5,000+ person staff spanning engineering, research, operations, and security, the laboratory executes long-term, mission-critical programs including nuclear stockpile stewardship, advanced manufacturing, and infrastructure resilience. Active hiring across engineering and research roles reflects ongoing capability expansion and modernization efforts.
Strengthening national security by developing science, technology, and engineering for counterterrorism, nonproliferation, defense, intelligence, energy security, and environmental resilience. The lab operates as part of the Department of Energy's National Nuclear Security Administration.
Scientific computing: MATLAB, LabVIEW, Ansys, COMSOL, HFSS, and GPU acceleration. ML/AI: TensorFlow, PyTorch, JAX. Web/backend: Python, React, Angular, FastAPI, Flask, Node.js. Data tools: Denodo, OpenMetadata. Design: PTC Creo. Instrumentation: ICP-MS, ICP-OES. Database/admin: Oracle, PeopleSoft, FreeIPA.
Lawrence Livermore National Laboratory's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.