3 of 3 Contract CUDA Jobs in Stevenage

Enterprise Linux (RHEL) systems. * Deploy, manage, and troubleshoot Nvidia GPU platforms, including DGX/HGX infrastructure. * Install, maintain, and upgrade Nvidia drivers, CUDA toolkits, and GPU software stacks. * Monitor cluster performance, capacity, availability, and resource utilization. * Support researchers, engineers, and technical users running compute-intensive workloads. * Diagnose and resolve … Hands-on experience with Nvidia DGX and/or HGX systems. * Experience installing, configuring, upgrading, and troubleshooting Nvidia GPU drivers. * Strong working knowledge of CUDA and GPU-accelerated workloads. * Experience troubleshooting Linux, hardware, storage, and networking issues within HPC environments. * Ability to work directly with engineers, researchers, and technical ...

Enterprise Linux (RHEL) systems. Deploy, manage, and troubleshoot Nvidia GPU platforms, including DGX/HGX infrastructure. Install, maintain, and upgrade Nvidia drivers, CUDA toolkits, and GPU software stacks. Monitor cluster performance, capacity, availability, and resource utilization. Support researchers, engineers, and technical users running compute-intensive workloads. Diagnose and resolve … Hands-on experience with Nvidia DGX and/or HGX systems. Experience installing, configuring, upgrading, and troubleshooting Nvidia GPU drivers. Strong working knowledge of CUDA and GPU-accelerated workloads. Experience troubleshooting Linux, hardware, storage, and networking issues within HPC environments. Ability to work directly with engineers, researchers, and technical ...

brief Run and troubleshoot production HPC clusters, including Slurm scheduling and RHEL systems. Deploy and support Nvidia GPU platforms (DGX/HGX), including drivers, CUDA and GPU software. Monitor performance, capacity and availability, and fix hardware, OS, storage, network and application issues. Support researchers and engineers running compute-heavy … Slurm administration HPC cluster, compute node and scheduler management Nvidia GPU platforms, including DGX and/or HGX, driver installation and upgrades, and strong CUDA knowledge Troubleshooting across Linux, hardware, storage and networking Strong communication, problem-solving and documentation skills Desirable skills Lustre or GPFS storage, InfiniBand AI/ ...