Data Science Workflows Architect

Lawrence Berkeley National Laboratory is hiring a Data Science Workflows Architect within the NERSC division. The National Energy Research Scientific Computing Center (NERSC) is seeking an engineer with experience in complex scientific workflows to join our team to help scientists take advantage of the most powerful computers in the U.S. As a member working at NERSC in the Data Science Engagement group, you will leverage cutting‑edge technologies to advance the scientific mission of the Department of Energy.

More than ever, scientific discovery transforms our world. NERSC is at the forefront, operating some of the world’s largest supercomputers for thousands of researchers who use computational power to solve society’s most challenging problems. These researchers are increasingly leveraging the combined power of large‑scale data analysis, simulation, and machine learning, integrating resources across multiple facilities. NERSC’s next major supercomputer, Doudna, will combine next generation GPUs, networking and storage coupled with advanced capabilities to support future scientific workflows.

NERSC is also a major partner in key DOE initiatives to develop new capabilities for scientific innovation, including Integrated Research Infrastructure and the American Science Cloud.

In this role, you will be responsible for supporting our user community to adapt and optimize their workflows for High Performance Computing (HPC) systems. You will be part of multidisciplinary and cross‑institution scientific projects, working directly with scientists and instruments from around the world.

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