HPC and AI System Manager – Field Application Engineering
Core
Manage uptime and performance of HPC clusters in Germany and USA, configure EPYC CPU and Instinct GPU systems, and support Field Application Engineers and customers.
Role type
Senior HPC Systems Manager (Field Application Engineering)
Builds
High-performance computing and AI environments for customers and OEM partners
Domain
High-Performance Computing (HPC) and AI
Deliverable
production ML models | infrastructure
Required skills
HPC system management, Linux administration (Redhat/Ubuntu/SLES), CPU/GPU architecture, parallel file systems (Lustre/BeeGFS/GPFS), batch managers (SLURM/PBS), Infiniband networking, automation scripting
Preferred skills
HPC middleware, compiler toolchains (Intel OneAPI, gcc), cluster management tools (Bright/TrinityX), performance tuning at register/memory level, customer-facing technical communication
Technologies
EPYC, Instinct GPU, Infiniband, Lustre, BeeGFS, GPFS, SLURM, PBS, Redhat, Ubuntu, SLES, Zen Software Studio, Intel OneAPI, CUDA, Docker, Kubernetes, OpenStack, OpenShift
Responsibilities
Ensure system uptime and baseline performance; configure and maintain CPU/GPU systems; characterize applications and document results; test early CPU samples; provide training and mentorship to FAE teams; automate operational procedures
Seniority
Senior, hands-on IC with leadership responsibilities
