HPC Data Movement Student Project Opportunities Los Alamos National Laboratory
Interested in working on an HPC project with Los Alamos National Laboratory? Check out the list of available internship projects here.
How to apply: email [email protected]
Learn about the teams looking for interns:
About the HPC Computer System Professional (CSP) Team
The High Performance Computing (HPC) Computer System Professional (CSP) within the HPC Systems Group (HPC-SYS) team provides vanguard monitoring, support, testing, and maintenance for existing supercomputers, as well as deployment support for the future systems that comprise LANL’s HPC production capability. Team members receive broad technical exposure to high performance computing and develop the technical skills in system, network, and file system administration to support, maintain, and continually evolve world-class supercomputers that rely upon data movement and storage systems supporting 100 Petabytes of capacity, as well as high speed networks (including Ethernet, InfiniBand, andOmni-Path networks) operating at up to 100 Gigabit per second of throughput. The CSP Team seeks highly motivated, productive, inquisitive, and multi-talented candidates who are equally comfortable working independently as well as part of a team.
About the HPC Data Movement and Storage Team
The High Performance Computing (HPC) Data Storage Team provides vanguard production support, research, and development for existing and future systems that feed and unleash the power of the supercomputer. The Data Storage Team designs, builds and maintains some of the largest, fastest and most complex data movement and storage systems in the world, including systems supporting 100 Petabytes of capacity. We provide storage systems spanning the full range of tiers from the most resilient archival systems to the pinnacle of high-speed storage, including all-flash file systems and systems supplying bandwidth that exceeds a terabyte per second to some of the largest and fastest supercomputers in the world. Innovators and builders at heart, the Data Storage team seeks highly motivated, productive, inquisitive, and multi-talented candidates who are equally comfortable working independently as well as part of a team. Team member duties include: designing, building, and maintaining world-class data movement and storage systems; evaluating and testing new technology and solutions; system administration of HPC storage infrastructure in support of compute clusters; diagnosing, solving, and implementing solutions for various system operational problems; tuning file systems to increase performance and reliability of services; process automation.
About the HPC Networking Team
The High Performance Computing (HPC) Networking Team provides vanguard production support, research, and development for existing and future high-speed networks and interconnects that feed and unleash the power of the supercomputer. The Networking Team designs, builds and maintains some of the largest, fastest, and secure networks for both data movement and system capability in the world, including systems supporting up to 100 Gigabit per second of throughput and continuing to grow. We provide network technology spanning the full range of tiers from campus networks to highest speed cluster interconnects for some of the largest and fastest supercomputers in the world. The HPC Networking Team is responsible for all aspects of networking within the HPC environment across three separate networks. This includes Ethernet, InfiniBand, and Omni-Path networks used within more than a dozen high performance computing resources. This also includes significantly complex Ethernet networks that control and manage access between the clusters and external resources. The successful candidate will support design, deployment, and maintenance efforts for networks within the HPC environment. Builders and problem-solvers at heart, the HPC Networking Team seeks highly motivated, productive, inquisitive, and multi-talented candidates who are equally comfortable working independently as well as part of a team.