Lawrence Livermore National Laboratory


With 3D printing and complementary technologies, we are revolutionizing manufacturing. Materials and manufacturing engineers are conceiving materials, products, and processes that promise new capabilities, low costs, and speedy development of almost everything manmade.


Additive manufacturing, material development, systems design, and design optimization are changing the manufacturing paradigm.


Design and development of tiny electromechanical devices, electronics, photonics, structures, and actuators is a priority.


We design, test and characterize films, composites, and joining processes for metal alloys, polymers, and composites.


We pursue x-ray, acoustic, thermal, mm-wave, optical, and neutron-imaging analysis with modeling, simulation, data analytics, and image-reconstruction techniques.

Some of our current projects we are working on include:


The W80-4 LEP modernizes a 30-year-old nuclear weapon for integration with a new cruise missile. Computer M&S, advanced manufacturing techniques for polymers and metals, and rigorous testing and analysis ensure exacting standards and specifications are met without underground nuclear testing.

General Tech Maturation

DOE supports initiatives in metal and polymer additive manufacturing (AM) to improve critical parts by redesigning for modern manufacturing technology. LLNL teams employ titanium alloys, stainless steel, tungsten, nickle-iron, polymer, and other compositions to create robust, safe, secure, and efficient engineered systems.

Visualization of NIF target


The Optics Mitigation Facility automation upgrade integrates advanced software controls, machine-learning algorithms, and deep-learning image recognition to increase production rates and ergonomics of a CO2 laser system that mitigates optical damage. Custom image-analysis software characterizes the size and type of damage and proposes and applies laser-machining protocol to repair the optical surface.

W80-4 component


The Diffractive Optic Full-Aperture System Test automation upgrade integrates two robots with fourteen additional axes of motion to increase diffractive-optic measurement throughput over 3x in NIF systems. This precision, Class 4 laser system uses a LabVIEW SCADA system in a novel way to control the robots.


  • 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 Engineer 
  • Image and Signal Processing
  • Instrumentation and Controls
  • Laser
  • Machine Learning
  • Machinist 
  • 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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