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


3D simulation of a shock interaction that looks like a colorful cylinder peeling back at one end

Source: LLNL Computing

meeting attendees posed as a group outside UCLCC

Source: LLNL Computing

Meeting of the minds: advanced math for the exascale era

Hosted at LLNL, the Center for Efficient Exascale Discretizations’ annual event featured breakout discussions, more than two dozen speakers, and an evening of bocce ball.

Climate | Co-Design | Computational Math | Computational Science | Discrete Mathematics | Emerging Architectures | Events | Exascale | HPC Systems and Software

R&D 100 award logo for 2023

Source: LLNL News

Lab scientists and engineers garner three awards for top inventions in R&D 100 competition

With this year’s results, the Lab has now collected a total of 179 R&D 100 awards since 1978. The awards will be showcased at the 61st R&D 100 black-tie awards gala on Nov. 16 in San Diego.

AI/ML | Awards | Biology/Biomedicine | Computational Science | Data Compression | Data Science | Exascale | HPC Systems and Software | Open-Source Software | Performance, Portability, and Productivity | Power Management


Featured Employee
Kohn family of three

Scott Kohn

An LLNL Distinguished Member of Technical Staff, Scott Kohn supports LLNL’s cyber security research program. He joined the Lab in 1997 as one of the first external hires into CASC, Computing’s…

Featured Project
Quandary logo


Quandary is an open-source C++ package for optimal control of quantum systems on classical High-Performance Computing platforms.

Featured Job
Computing Scholar logo

Apply Now for Internships

The application window is now open for Fall 2023 and Spring/Summer 2024 internships. We invite undergraduate and graduate students to apply today for Computing Scholars, the HPC Cluster Engineer Academy, the DevOps Internship Team, and the Data Science Summer Institute.


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.