Certified Remote
PUBLISHED
Oct 9, 2025
Join Lawrence Livermore National Laboratory in pioneering predictive AI solutions for national security and scientific research. As a key team member, you'll design and implement advanced machine learning models to forecast complex phenomena and drive innovative discoveries.
Lawrence Livermore National Laboratory (LLNL) is seeking a talented Predictive AI Software Engineer to join our innovative team focused on advancing national security through artificial intelligence. In this role, you will develop and deploy predictive algorithms to model and simulate complex physical, biological, and engineering systems. Your work will support critical missions in stockpile stewardship, energy security, and global threat reduction by leveraging AI to process vast datasets and generate actionable insights.
Key responsibilities include designing scalable AI architectures, integrating machine learning pipelines with existing simulation frameworks, and collaborating with scientists and engineers to refine predictive models. You will conduct experiments to validate model accuracy, optimize performance for high-performance computing environments, and contribute to publications and patents arising from your research.
At LLNL, you will thrive in a dynamic environment that encourages creativity and interdisciplinary collaboration. With access to world-class supercomputing resources and a commitment to diversity and inclusion, this position offers the opportunity to make a lasting impact on science and society. If you are passionate about using AI to solve real-world challenges, we invite you to apply and help shape the future of predictive technologies.
The employer recommends obtaining this certification to validate your skills and enhance your application.
Note: You can still apply for this position without the certification, but having it will make your profile stand out and may be required to move forward in the hiring process.