High Performance Network Engineer Infiniband

As an InfiniBand Engineer, your role involves designing, deploying, and supporting high-performance, low-latency network infrastructures in data center and HPC environments. Your responsibilities include: - Designing, implementing, and managing large-scale InfiniBand (IB) fabrics - Configuring and troubleshooting InfiniBand switches and adapters (e.g., Mellanox / NVIDIA IB platforms) - Performing fabric bring-up, subnet management, partitioning, and performance tuning - Monitoring and optimizing network performance, latency, throughput, and congestion control - Integrating InfiniBand with Ethernet-based networking environments - Supporting RDMA technologies (RoCE, iWARP) and GPUDirect environments - Collaborating with system, storage, and compute teams to support AI/ML and distributed workloads - Performing firmware upgrades, patching, and capacity planning - Troubleshooting Layer 2 / Layer 3 networking issues - Maintaining documentation, network diagrams, and SOPs To qualify for this role, you should have: - 5+ years of networking experience with solid fundamentals in TCP/IP, routing, and switching - Hands-on experience with InfiniBand technologies (HDR/NDR preferred) - Experience with NVIDIA / Mellanox Technologies switches and adapters - Solid understanding of RDMA, congestion control, QoS, and low-latency tuning - Experience with subnet managers (OpenSM) and fabric diagnostic tools - Solid understanding of BGP, OSPF, EVPN-VXLAN, MPLS - Experience in HPC, AI/ML cluster networking environments - Familiarity with Linux networking and troubleshooting tools - Experience with automation (Python, Ansible) is a plus Preferred qualifications include: - Experience supporting large GPU clusters - Knowledge of storage networking (NVMe-oF, parallel file systems) - Experience with monitoring tools and telemetry systems - Networking certifications (CCNP/CCIE or equivalent) Key competencies for this role include: - Strong analytical and troubleshooting skills - Ability to work in high-performance, mission-critical environments - Excellent documentation and communication skills - Proactive problem-solving mindset As an InfiniBand Engineer, your role involves designing, deploying, and supporting high-performance, low-latency network infrastructures in data center and HPC environments. Your responsibilities include: - Designing, implementing, and managing large-scale InfiniBand (IB) fabrics - Configuring and troubleshooting InfiniBand switches and adapters (e.g., Mellanox / NVIDIA IB platforms) - Performing fabric bring-up, subnet management, partitioning, and performance tuning - Monitoring and optimizing network performance, latency, throughput, and congestion control - Integrating InfiniBand with Ethernet-based networking environments - Supporting RDMA technologies (RoCE, iWARP) and GPUDirect environments - Collaborating with system, storage, and compute teams to support AI/ML and distributed workloads - Performing firmware upgrades, patching, and capacity planning - Troubleshooting Layer 2 / Layer 3 networking issues - Maintaining documentation, network diagrams, and SOPs To qualify for this role, you should have: - 5+ years of networking experience with solid fundamentals in TCP/IP, routing, and switching - Hands-on experience with InfiniBand technologies (HDR/NDR preferred) - Experience with NVIDIA / Mellanox Technologies switches and adapters - Solid understanding of RDMA, congestion control, QoS, and low-latency tuning - Experience with subnet managers (OpenSM) and fabric diagnostic tools - Solid understanding of BGP, OSPF, EVPN-VXLAN, MPLS - Experience in HPC, AI/ML cluster networking environments - Familiarity with Linux networking and troubleshooting tools - Experience with automation (Python, Ansible) is a plus Preferred qualifications include: - Experience supporting large GPU clusters - Knowledge of storage networking (NVMe-oF, parallel file systems) - Experience with monitoring tools and telemetry systems - Networking certifications (CCNP/CCIE or equivalent) Key competencies for this role include: - Strong analytical and troubleshooting skills - Ability to work in high-performance, mission-critical environments - Excellent documentation and communication skills - Proactive problem-solving mindset