GPU Infrastructure Engineer – NVIDIA H200

<p>8+ years of Linux, infrastructure, HPC, cloud platform or systems engineering experience.</p><p>- Strong hands-on experience with NVIDIA GPU infrastructure.</p><p>- Experience deploying NVIDIA H100/H200 or comparable enterprise GPU platforms.</p><p>- Strong knowledge of:</p><p>- NVIDIA CUDA</p><p>- NVIDIA GPU Drivers</p><p>- NVIDIA Container Toolkit</p><p>- NCCL</p><p>- GPUDirect RDMA</p><p>- NVIDIA AI Enterprise</p><p>- Hands-on experience with SLURM.</p><p>- Experience with NVIDIA MIG and GPU resource partitioning.</p><p>- Strong Linux administration and troubleshooting skills.</p><p>- Experience with InfiniBand/RDMA high-performance networking.</p><p>- Understanding of GPU topology, PCIe, NUMA, NVLink and multi-GPU communication.</p><p>- Experience deploying containerized AI/ML worklo.</p><p>- Experience with Docker and Kubernetes/container orchestration technologies.</p><p>- Strong understanding of HA, monitoring, logging and production infrastructure practices.</p><p><br></p>