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Computing at LLNL
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At a Glance

Discovery science and technical innovation

Computing at LLNL advances scientific discovery through foundational and innovative research; mission-driven data science; complex modeling, simulation, and analysis on powerful supercomputers; and creative technologies and software solutions. Everything at Livermore is Team Science. Thus, Computing is at the heart of many of LLNL’s most compelling national security and scientific efforts:

  • Operating one of the world’s largest HPC data centers
  • Designing AI and machine learning algorithms for science-based pattern discovery
  • Driving advances in simulation, scalable visualization, and data management
  • Providing essential IT expertise across LLNL
  • New simulation technologies and algorithms, such as in design optimization and decision support
  • Computing beyond exascale: heterogeneous, neural, cloud/converged, and quantum
  • Running one of the world’s largest control systems at NIF

Focus Areas

Computational Math

Powering scientific codes with advanced algebraic methods, algorithms, solvers, and discretizations

Computational Science

Supporting the Lab’s mission-driven programs with scientific modeling and simulation

Cyber Security

Meeting the nation’s top priorities to enhance security in a highly interconnected world

Data Science

Advancing AI, data analytics, machine learning, predictive modeling, statistics, UQ, and more

Emerging Architectures

Innovating in new directions for next-generation hardware designs and platform integrations

HPC Systems & Software

Providing environments, tools, and expertise for vital national security research and development

Information Technology

Meeting the Lab’s computer technology needs every day with enterprise applications and services

Software Engineering

Applying best practices to maximize the efficiency of software development and deployment

News

abstract blue and purple background with text overlay "Genesis Mission"


Source: LLNL News

LLNL selected to lead 10 projects under DOE’s Genesis Mission

LLNL scientists and engineers have been selected to lead 10 Phase I projects under the DOE’s Genesis Mission, applying AI to challenges spanning HPC, fusion energy, Earth systems science, materials discovery, biology, quantum technologies, and fundamental physics.

AI/ML | Biology/Biomedicine | Collaborations | Computational Science | Data Science | Earth Systems | Emerging Architectures | Materials and Manufacturing | Quantum Computing | Scientific ML

Dev Day logo showing three cartoon people wearing LLNL-branded clothing


Source: LLNL Computing

LLNL Developer Day hits the decade mark

LLNL's annual Developer Day returned on July 1 for its 10th year, bringing together software developers from across the Lab to share ideas, showcase technical progress, and strengthen community.

Careers | Community | Developer Support | Events | Software Engineering | Software Quality Assurance

large group of people seated at long tables in a conference room


Source: LLNL News

“AI Science at Scale” summit showcases advances in AI-enabled research and innovation

The summit recognized AI’s growing role in scientific discovery and the Department of Energy’s increasing interest in frontier AI, which subsequently formalized in the Genesis mission.

AI/ML | Collaborations | Data Science

Highlights

Featured Employee
Elsa Gonsiorowski

Elsa Gonsiorowski

Computer scientist Elsa Gonsiorowski joined Livermore Computing in 2016 and has steadily improved LLNL’s HPC ecosystem by supporting applications, software, and users.

Featured Project
upside-down fractal branching tree in blues, purples, and pinks

FRACTALE

Advancing the pace of computational science through workflow efficiencies and optimized resource management.

Featured Event
rainbow-colored advection simulation

MFEM Community Workshop

Join us for the sixth annual MFEM Community Workshop on September 22–25, 2026. Registration closes on September 11.

Careers

People standing in front of LLNL block letters

We offer a promising future of discovery science and technical innovation

From software developers and applied math researchers to hardware architects and networking experts, computing at LLNL requires a top-flight workforce with a broad skill set. Check out our internship pages or visit LLNL's careers site to see how you can be a part of the future.