Postdoctoral Fellow - HPC Scientific Workflows (NESAP @ NERSC)

Overview

The National Energy Research Scientific Computing Center (NERSC) at Berkeley Lab seeks a highly motivated Postdoctoral Fellow – HPC Scientific Workflows (NESAP @ NERSC) to join the Workflow Readiness team as part of NERSC's Exascale Science Acceleration Program (NESAP). You will work with NERSC staff, domain scientists, and engineering partners to prepare key scientific workflows for the upcoming Doudna supercomputer across all program areas funded by the Department of Energy Office of Science. Doudna will deliver more than 10× the performance of Perlmutter and connect to DOE facilities for near‑real‑time data analysis. Your work will help 12,000+ users run faster, more reliable science.

What You Will Do

• Contribute to one or more NESAP scientific workflows targeting NERSC HPC resources, edge resources, and the DOE ESnet network.
• Develop and apply advanced workflow capabilities to improve performance, portability, and productivity of scientific software.
• Publish and present results at peer‑reviewed venues and conferences.

Example Project Areas

• Performance analysis and optimization of end‑to‑end scientific workflows, including those originating at DOE facilities.
• Operating persistent or episodic services supporting workflows, such as databases, workflow engines, cloud‑native frameworks, AI inference front ends, and REST APIs.
• Coordinating dynamic service deployments and specifying storage QoS through new batch scheduler and REST API integrations.
• Building customized, containerized software environments for development, CI/CD, and external sharing.
• Using tools and templates for distributed AI training, agentic AI with modeling and simulation, and end‑to‑end workflow monitoring, profiling, and optimization.
• Working with quantum simulation tools, including NVIDIA CUDA‑Q, to enable scalable quantum algorithm development and quantum‑HPC codesign.

What is Required

• PhD in Computer Science, Computational Science, Applied Mathematics, or a related field awarded within the last five years.
• Proficiency in at least one of Python, C++, Fortran, or Julia.
• Ability to work effectively in an interdisciplinary team.
• Demonstrated written and oral communication of candidate‑led results.

Desired Qualifications

• Git and modern software practices such as unit testing, CI/CD, and collaborative development.
• Experience with HPC environments and batch schedulers like Slurm.
• REST API development or integration.
• Workflow orchestration tools.
• Data management with catalogs and transfer tools.
• Container technologies such as Docker, Podman, Shifter, or Apptainer.
• Kubernetes and cloud platforms.

Notes

• This is a full‑time, 2‑year postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience.
• This position is represented by a union for collective bargaining purposes.
• The monthly salary range for this position is $8,570 – $9,935.
• This position requires substantial on‑site presence but is eligible for a flexible work mode, and hybrid schedules may be considered. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab.
• This position is subject to a background check. Having a conviction history will not automatically disqualify an applicant from being considered for employment.

Want to learn more about working at Berkeley Lab?

Visit careers.lbl.gov.

Equal Employment Opportunity

Berkeley Lab is an Equal Opportunity Employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law. Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti‑discrimination efforts, consistent with its obligations as a Federal and State contractor.

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