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

composite of an electricity smart meter and electricity transmission lines

Source: LLNL News

GridDS: An open-source, data-science toolkit for energy

More than 100 million smart meters have been installed in the U.S. to record and communicate electric consumption, voltage, and current to consumers and grid operators. LLNL has developed GridDS to help make the most of this data.

AI/ML | Critical Infrastructure | Data Management | Data Science | Open-Source Software

Kathryn's portrait overlaid on a background of teal circles connected like a network

Source: Science & Technology Review

Latest S&TR issue highlights Kathryn Mohror

Computer scientist Kathryn Mohror is among LLNL's recipients of the Department of Energy’s Early Career Research Program awards.

Awards | Careers | Fault Tolerance and Resilience | HPC Systems and Software | Storage, File Systems, and I/O

logos for seven open-source projects: Spack, BLT, Caliper, MFEM, Flux, Ascent, and RAJA


Sign up for RADIUSS AWS tutorials coming in August

Learn how to use LLNL software in the cloud. In August, we will host tutorials in collaboration with AWS on how to install and use these projects on AWS EC2 instances. No previous experience necessary.

HPC Systems and Software | Open-Source Software | Scientific Cloud Computing | Software Engineering | Software Libraries


Featured Employee
Angeline on a coastal Maine trail

Angeline Lee

Angeline Lee simultaneously serves as a group leader, contributes to programmatic projects, and studies for her bachelor’s degree.

Featured Project
interior of the NIF target chamber under blue light

Backlighter Tech

The latest generation of a laser beam–delay technique owes its success to collaboration, dedication, and innovation.

Featured Jobs
people helping others at their work stations

IT Opportunities

Operating a world-class computing center and ensuring the productivity of our scientists 24/7/365 require a deep bench of computer experts, network specialists, and desktop technicians. Our IT teams bring the latest technology and communication capabilities to thousands of staff.


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.