"Postdoctoral Researcher - HPC Workflow Performance (NESAP/NERSC)"

The National Energy Research Scientific Computing Center (NERSC) at Berkeley Lab seeks a highly motivated Postdoctoral Researcher - HPC Workflow Performance (NESAP/NERSC) to join the Workflow Readiness team as part of NERSC's Exascale Science Acceleration Program (NESAP).

You will join the team to prepare scientific workflows for NERSC's next system, the Doudna supercomputer across all program areas, which will deliver over 10x the performance of Perlmutter and connect directly to DOE experimental and observational facilities. You will help 12,000+ science users run complex, data-intensive workflows at scale and in near real time. You will work closely with NERSC staff and partners at NVIDIA and Dell to turn cutting-edge capabilities into everyday tools for the science community.

What You Will Do:

• Contribute to one or more NESAP workflow projects (https://www.nersc.gov/what-we-do/support-for-scientists/nersc-science-acceleration-program/nesap-for-doudna) using NERSC HPC resources, edge resources, and the DOE ESNET network.
• Develop and apply advanced workflow capabilities that improve performance, portability, and productivity.
• Perform performance analysis and optimization across end-to-end workflows, including those originating at DOE facilities.
• Publish and present results at peer-reviewed venues and conferences.

What is Required:

• Ph.D. in Computer Science, Computational Science, Applied Mathematics, or a related field, awarded within the last five years
• Programming experience in one or more of Python, C++, Fortran, or Julia
• Knowledge of high-performance and parallel computing
• Experience working in interdisciplinary teams
• Clear record of communicating original results in writing and presentations

Desired Qualifications:

• Knowledge of GPU architecture and experience programming GPUs
• Familiarity with performance tools such as NVIDIA Nsight, Perftools
• Experience debugging distributed memory applications
• Experience with containers such as Docker, Podman, or Shifter
• Git and modern software practices such as unit testing and CI/CD
• Experience with MPI, Kokkos, OpenMP, CUDA/HIP
• Experience implementing or optimizing scientific libraries such as Linear Algebra Libraries, Solvers, FFTs/cuFFT, sequence alignment, and similar
• Experience deploying and using HPC applications on Slurm clusters

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. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• The monthly salary range for this position is $8,570 - $9,935 and is expected to start at $8,570 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience.
• This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• This position requires substantial on-site presence, but is eligible for a flexible work mode, and hybrid schedules may be considered. Hybrid work is a combination of performing work on-site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA and some telework. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab. Work schedules are dependent on business needs. In rare cases, full-time telework or remote work modes may be considered. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites.

Want to learn more about working at Berkeley Lab? Please visit:careers.lbl.gov