Since its origins, Lawrence Livermore National Laboratory (LLNL) has pushed the limits of science, technology, and research in an effort to better understand the world and protect the people in it—but we do so much more than that. To this day, we continue to innovate, collaborate, and explore, backed by the minds of thousands of talented researchers, operations staff, and creative professionals. We are a globally-recognized leader in bioengineering, high-performance computing, environmental research, nuclear science, and more. And none of this research would be possible without our employees across different fields, from skilled labor to engineering. No matter what you do here, you can help change the world.

At Lawrence Livermore National Laboratory (LLNL), our leaders and employees are committed to creating an environment where we respect and value the diverse talents, perspectives, ideas, backgrounds, and life experiences of all employees. We believe this gives rise to the most innovative ideas and fosters our ability to take on and solve grand challenges that our mission demands.

Investments in the development of our workforce and in the practice of “team science,” and the team approach throughout LLNL, are a vital component of our success. We are always expanding the definition of “team” through a healthy research culture of workforce diversity, inclusion, mutual respect, openness, interdisciplinary teaming, and partnerships.

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