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

Unidentified employee (Ruth Kilby, possible) with IBM 704, November 1957

Source: LLNL Computing

A look back: Women in early computing at LLNL

LLNL’s archives recount the contributions of women who developed code during the Lab's early decades.

Careers | Diversity | HPC Systems and Software | Programming Languages and Models

Chandrika's portrait next to the SIAM logo on a blue geometric background

Source: LLNL News

Chandrika Kamath honored as 2023 SIAM fellow

The prestigious fellow designation is a lifetime honorific title and honors SIAM members who have made outstanding contributions to fields served by the organization.

Awards | Careers | Computational Math | Computational Science | Data Management | Data Science

three panels showing progressive granularity of protein simulation

Source: LLNL News

Scientists develop model for more efficient simulations of protein interactions linked to cancer

The new model addresses a problem in simulating RAS behavior, where conventional methods come up short of reaching the time- and length-scales needed to observe biological processes of RAS-related cancers.

AI/ML | Biology/Biomedicine | Computational Science | Data Science | Multimedia


Featured Employee
Kim standing outside a building with twisty trees

Kim Ferrari

Ferrari leads a group of developers and quality assurance personnel who support software that runs 24/7/365.

Featured Project
wavy simulation of plasma colored in blue, green, yellow, and white on a black background


A high-fidelity, specialized code solves partial differential equations for plasma simulations.

Featured Video
DeepRacer car positioned on the blue track with a dashed yellow center line and white lines marking the outside of the lane

DeepRacer Hackathon

Our fall 2022 hackathon featured an Amazon Web Services (AWS) DeepRacer machine learning competition, in which participants used a cloud-based racing simulator to train an autonomous race car with reinforcement learning algorithms.


Team stands in front of HPC

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.