Director, National Energy Research Scientific Computing Center; NERSC

Lawrence Berkeley National Laboratory (Berkeley Lab) is seeking a dynamic and experienced scientific leader with an outstanding and distinguished record of leadership and research accomplishments in advanced computing, scientific workflows, and artificial intelligence capabilities to serve as the Director of the National Energy Research Scientific Computing Center (NERSC) Division.

This is an unparalleled opportunity to lead the U.S. Department of Energy (DOE) Office of Science's premier high-performance computing (HPC) user facility. The NERSC Division Director is responsible for strategic, scientific, operational, and financial leadership for the Division, overseeing an annual budget of $135 million and a staff of 120 employees and 50 affiliates. Reporting to the Associate Laboratory Director for Computing Sciences, responsibilities include:

• Ensuring the reliable and effective delivery of world‑class computing, data, and user support services while positioning NERSC to address emerging scientific and technological opportunities, including exascale and post‑exascale computing, artificial intelligence for science, quantum computing, and data‑intensive scientific workflows;
• Providing vision and leadership for NERSC's mission to accelerate scientific discovery through advanced computing, data, and artificial intelligence capabilities in support of the DOE Office of Science and the national scientific community;
• Accountability for all aspects of NERSC management and operations, including scientific and technical strategy, facility operations, workforce management, financial stewardship, environmental health and safety, cybersecurity, and stakeholder engagement; and
• Actively advancing Berkeley Lab's stewardship values by promoting a culture of scientific excellence, service, integrity, accountability, trust, respect, safety, and collaboration while supporting the recruitment, development, and retention of an exceptional workforce.

As a member of the Computing Sciences Area leadership team and Berkeley Lab's senior leadership community, the Director contributes to the development and execution of Area and Laboratory strategy. The Director builds collaborative partnerships and programs within the Computing Sciences Area (comprising the Scientific Data, Applied Mathematics and Computational Research, and Scientific Networking Divisions in addition to NERSC), with other Divisions at Berkeley Lab, and with external research institutions across the DOE complex, academia, industry, and international research organizations to contribute to large‑scale, multidisciplinary initiatives.

Finally, the Director is expected to maintain an internationally recognized scientific and technical reputation and serve as a visible leader and advocate for high‑performance computing and computational science.

NERSC is the premier high‑performance computing user facility for the U.S. Department of Energy Office of Science. NERSC's mission is to accelerate scientific discovery through high performance computing and data analysis for the DOE Office of Science programs. NERSC provides critical HPC and data systems and support for NERSC's 12,000 users researching alternative energy sources, climate science, energy efficiency, environmental science and other DOE mission areas.

NERSC users produce on average 2,000+ refereed publications annually using NERSC resources. Over the years, NERSC has been privileged to serve seven Nobel Prize‑winning scientists or their teams. Learn more about NERSC.

• Provide scientific, technical, and operational leadership for NERSC, overseeing one of the world’s leading scientific computing facilities supporting thousands of researchers and hundreds of scientific projects annually.
• Develop and execute a long‑term strategic vision and roadmap for NERSC that aligns with DOE Office of Science priorities, Berkeley Lab strategic objectives, and evolving scientific computing requirements.
• Lead the development of new initiatives and programs in artificial intelligence, complex multi‑site scientific workflows, application software…