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
  • Deploying research and supercomputers to mitigate COVID-19
  • Preparing for one of the nation’s first exascale-class computers
  • Providing essential IT expertise across LLNL
  • Running one of the world’s largest control systems at NIF
  • Advancing cancer research and treatment
  • Designing AI and machine learning algorithms for science-based pattern discovery

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


Recent Tweet

Bronis at a podium kicking off the conference

Source: LLNL News

First-ever hybrid Supercomputing conference sports strong Lab flavor

For the first time ever, the 2021 International Conference for High Performance Computing, Networking, Storage and Analysis (SC21) went hybrid, with dozens of both in-person and virtual workshops, technical paper presentations, panels, tutorials and “birds of a feather” sessions.

Data Science | Emerging Architectures | Events | HPC Systems and Software

portraits of five panelists

Source: Data Science Institute

Career panel spotlights diversity, equity, and inclusion

The Data Science Institute hosted a career panel on November 3 featuring members of some of LLNL's Employee Resource Groups: Asian Pacific American Council, Amigos Unidos Hispanics in Partnership, Lawrence Livermore Laboratory Women’s Association, and Abilities Champions.

Careers | Data Science | Diversity

SC21 logo overlaid on photo of St. Louis convention center

Source: LLNL News

LLNL team wins SC21 Reproducibility Advancement Award

The 2021 International Conference for High Performance Computing, Networking, Storage and Analysis (SC21) on Nov. 18 presented the inaugural Best Reproducibility Advancement Award to an LLNL team for a benchmark suite aimed at simplifying the evaluation process of approximation techniques for scientific applications.

Awards | Events | HPC Systems and Software | Open-Source Software | Performance, Portability, and Productivity


Featured Employee
Steven in front of the Merced River in Yosemite

Steven Roberts

As Computing’s fifth Fernbach Fellow, postdoctoral researcher Steven Roberts will develop, analyze, and implement new time integration methods.

Featured Project
flux logo on a blue background


Livermore researchers have developed a toolset for solving data center bottlenecks. The 2021 R&D 100 award-winning Flux software offers a framework that enables new resource types, schedulers…

Featured Event
SC21 logo overlaid on photo of Lassen with Cerebras wafer-scale engine

SC21: Science & Beyond

We were thrilled to be part of the 33rd annual Supercomputing Conference (SC21), which was held in a hybrid format during November 14–19.

We tweeted throughout the conference with the hashtag #LLNLatSC. The Department of Energy (@NatLabsHPC) also tweeted during the event.


Glassdoor Offical Logo 2020

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.