Machine Learning Software Developer

Join us and make YOUR mark on the World!

Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.

Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.

We have an opening for a Machine Learning Software Developer to help to shape research and development efforts to secure software and firmware used in systems critical to our national security, including industrial control systems, in partnership with the Federal government, manufacturers, and asset owners and operators. You will also lead or contribute to the creation of Large Language Model-driven agents, which work to better understand supply chain threats to critical systems and networks. These positions are programmatically in Global Security’s Energy and Homeland Security (E) Program and administratively in the Global Security Computing Applications Division (GS-CAD) within the Computing Directorate.

This position will be filled at either level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level.