Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Sciences Informatics portfolio. You will help develop modular and scalable software tools and infrastructure for data processing and data center operations in the Earth, climate, and environmental sciences
-
management of High-Performance Computing (HPC) systems within a classified environment. We are looking for candidates with experience in HPC architecture, cluster management, and parallel computing
-
areas include: Parallel and distributed graph and or ML algorithms — shortest paths, connectivity, clustering, or graph traversal on GPU clusters and distributed-memory systems. Sparse direct and
-
, the first supercomputer to break the exascale barrier and Orion, a 700 petabytes Lustre parallel file system. As an important part of the broader High-Performance Computing (HPC) infrastructure, the
-
exascale and post-exascale systems. Drive research into next-generation storage systems and hierarchies, including storage-class memory, disaggregated storage architectures, high-bandwidth parallel file
-
workflows, including parallel and distributed applications, data-intensive pipelines, and accelerator-enabled workloads. Work closely with system administrators, infrastructure engineers, and researchers
-
architectures and parallel file systems, including Lustre, IBM Storage Scale/GPFS, BeeGFS, or similar technologies. Advanced Linux engineering experience within large-scale compute or storage environments
-
Leadership Computing Facility (OLCF), deploying the world’s first exascale supercomputer system (Frontier), and deploying some of the largest parallel file systems in the world. As a U.S. Department of
-
: Develop and evaluate architectural models, system-level simulators, and performance modeling frameworks for QHPC systems, capturing relevant characteristics of quantum processing units, classical HPC
-
on high-performance computing (HPC) environments using distributed data or model parallel training. Experience with multi-physics simulations on HPC and with ML models. Experience working in a multi