beegfs jobs in San Diego

Design, deploy, and operate large-scale HPC compute clusters and petabyte-class parallel file systems (Lustre, Ceph, BeeGFS, GPFS) at national and campus levels. Manage Linux system administration, cluster middleware (Slurm, PBS), storage integration, and network performance across high-speed Ethernet and InfiniBand infrastructure.…See more Develop automation scripts in Bash and Python, lead monitoring and security integration efforts, and evaluate emerging HPC technologies and vendor solutions.

Design, build, and operate high-performance scientific computing and storage infrastructure for reactor control and data acquisition systems. Responsibilities include architecting and tuning parallel filesystems (BeeGFS/ZFS) and ultra-low-latency networking (100GbE, RoCEv2), hardening segmented network security with strict firewall policies, automating bare-metal provisioning via Bash/Ansible, and managing physical data center operations including rack deployment and hardware diagnostics.…See more Requires 15+ years of Linux systems administration, deep expertise in RHEL kernel tuning, storage (ZFS/RAID/LVM), TCP/IP networking, and enterprise infrastructure.

Linux Infrastructure Engineer responsible for designing, building, and maintaining ultra-high-performance data center infrastructure supporting scientific computing and operational technology systems. Core duties include architecting and tuning software-defined storage (ZFS, BeeGFS, NVMe), managing 100GbE networking with RDMA, automating bare-metal provisioning via Ansible and Bash, and ensuring OT security through segmented, firewalled network architecture.…See more Requires 15+ years of systems administration experience, expert-level Linux (RHEL) and storage knowledge, and hands-on data center operations including physical deployment, diagnostics, and hardware lifecycle management.

Lead the design, development, and operation of Qualcomm's enterprise AI platform, supporting agentic AI, model lifecycle management, and multi-cloud ML/inference infrastructure. Own core platform services including identity/RBAC, secrets, service meshes, observability, vector stores, and model gateways across on-prem GPU clusters and managed cloud services.…See more Manage a ~10-engineer global team (platform, SRE, MLOps/LLMOps), drive incident response and continuous improvement, and partner with product and security teams on AI governance and high-impact use cases.