Lawrence Livermore National Laboratory


Engineering staff fully exploit the massive computing power onsite and with the "big iron," unravel many wicked problems. Besides advanced M&S and data-analytic tools, entire fields of study, such as collaborative autonomy, are under incubation to enable groundbreaking solutions.


We develop physics and statistically-based models of systems, including extreme environments otherwise impossible to observe.


Our topics include wide-area motion analysis, pattern recognition, machine learning, computer-vision analysis, tomography, and radar and hyperspectral processing


LLNL is refining the role of the human guide in collaboration with an autonomous partner, as well as machine-to-machine collaboration.


We study optimization, machine learning, real-time processing, uncertainty quantification and data mining for static and dynamic structural, biological, and environmental systems.

Some of our current projects we are working on include:

Three snapshots of pressure vessel model animation

Sierra Nevada

Sierra Nevada is a series of explosive experiments in which engineers provide answers and solutions through virtual models of the equipment used. Engineers combine finite-element and finite-volume software codes to simulate the experiments, ensuring their safe and effective performance.

Graphical Representation of Multi-node network

Insensitive High-Explosive Models

LLNL insensitive high-explosive numerical models calculate stress strain and damage from arbitrary thermomechanical loads, thereby enabling engineering assessments of plastic-bonded insensitive high explosives.

Quad-copter frame

LiDO Design Optimization

Livermore design optimization (LiDO) structural-topology-optimization, high-performance-computing code is built on LLNL finite-element software, solvers, optimizers and visualization libraries. Fully parallel, it solves problems with one billion design parameters.

Remote arm positioning NIF target


The Nuclear Survivability Program provides capabilities to determine whether a nuclear weapon can survive a nuclear intercept. A highly diverse team is breaking new ground daily using simulations and experiments to assay the viability of the U.S. nuclear deterrent.


  • Applied Physicist/EE
  • Applied Statistician
  • Applied Statistics
  • Chemical Engineer
  • Computation Engineering
  • Computer Vision
  • Control Systems Hardware
  • Defense Technologies Engineering
  • EE Drafter
  • Electrical Engineer
  • Electrical/Mechanical Coordinator
  • Electronics
  • Engineering Technologies and Design
  • Hypersonic EngineerĀ 
  • Image and Signal Processing
  • Instrumentation and Controls
  • Laser
  • Machine Learning
  • MachinistĀ 
  • ME Analyst
  • Mechanical
  • Mechanical Engineer
  • Mechanical/Electro-Optic Systems
  • National Security Engineering
  • NIF Coordinator
  • Operations Research
  • Optical and Electronics
  • Optical Diagnostics
  • Optical Poduction
  • Optics Automation Hardware
  • Optimal Sequential Decision-Making
  • Optimization
  • Photonics/Laser Electro-Optics
  • Reduced Order Modeling
  • Reinforcement Learning
  • Signal Processing
  • Simulation Optimization
  • Target Fabrication
  • Thermal Comp Fluid Dynamics/Design
  • Ultrafast Optical and Electronics

Interested? Apply Now.

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