LLNL Careers, Benefits, Review
Established in 1952 and headquartered in Livermore, California, The Lawrence Livermore National Laboratory (LLNL) is a scientific research laboratory founded by the University of California. The laboratory is primarily funded by the United States ...
Lawrence Livermore National Laboratory is hiring a Senior Technical Coordinator to manage technical procurement and coordination for electronic and mechanical fabrication needs supporting NIF operations.
Lawrence Livermore National Laboratory is hiring a Hardware Coordinator to manage and coordinate hardware movement, tracking, and PLM activities supporting Stockpile Systems weapon program certification.
Lawrence Livermore National Laboratory is hiring Software Engineers to design, implement, and maintain enterprise PLM and configuration-management applications supporting the Strategic Deterrence program.
Lawrence Livermore National Laboratory is hiring a Machine Learning Bioengineer to design, train, and evaluate protein and genome language models that support computational protein design and national security missions.
Lawrence Livermore National Laboratory is hiring a Communications Specialist to develop and edit high-impact technical communications and support strategic messaging for the Office of the Deputy Director for Science and Technology.
LLNL is hiring an AI Solutions Engineer to build and operationalize RAG-driven, LLM-enabled integrations and APIs that bring AI capability to enterprise business applications.
Lawrence Livermore National Laboratory is hiring a mid/senior Financial Analyst to lead complex budget, workforce planning, and financial policy analyses in support of national security programs.
Provide technical leadership for control systems hardware at LLNL's National Ignition Facility, directing a team to design, maintain, and validate complex control architectures that support high-consequence scientific operations.
Operate and maintain NIF beam control and injection laser subsystems onsite at LLNL to ensure precise alignment, timing, diagnostics, and reliable performance for high‑energy laser experiments.
Work with LLNL teams to build and maintain full-stack, AI-enabled data management systems that integrate modern web interfaces, backend services, and robust software quality practices.
