Senior HPC Network Engineer (Tortuguitas)

Senior HPC Network Engineer to support advanced AI, research, and Kubernetes-based GPU infrastructure for a major general technology client. The role focuses on architecting, operating, and optimizing high-performance network fabrics for large-scale LLM and distributed AI workloads, including InfiniBand/RDMA, high-speed Ethernet, Kubernetes networking, host-side GPU networking, SmartNIC/DPU technologies, and deep network observability. The ideal candidate has strong hands-on experience with InfiniBand NDR/HDR and next-generation fabrics, RDMA/RoCE, NVIDIA/Mellanox networking, NCCL/MSCCL communication patterns, Linux host networking, PCIe/GPU/NIC topology, and Kubernetes networking for GPU clusters. Responsibilities
- Architect, operate, and troubleshoot high-performance InfiniBand/RDMA and Ethernet fabrics for large-scale GPU clusters and distributed AI/LLM workloads
- Design and evaluate cluster network topologies, including Fat-tree, Clos, Rail-optimized, and Dragonfly, based on workload scale and performance needs
- Optimize host-side networking, including NIC configuration, drivers, firmware, IRQ affinity, NUMA placement, PCIe topology, and GPU-to-NIC communication paths
- Tune and troubleshoot RDMA/RoCE, NCCL/MSCCL, and collective communication performance for multi-node GPU training workloads
- Design and maintain Kubernetes networking for GPU clusters, including CNI plugins, network policies, multi-NIC pods, RDMA/GPU device plugins, and workload orchestration integration
- Support SmartNIC/DPU technologies such as NVIDIA BlueField where applicable, including SR-IOV, offload, isolation, and security use cases
- Build and improve network observability, including metrics, dashboards, alerts, congestion detection, latency tracing, SLO reporting, and capacity/performance analysis
- Collaborate with Kubernetes, storage, GPU infrastructure, observability, and AI research teams to resolve network and I/O bottlenecks and improve workload reliability

Requirements
- 5+ Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pn2lk