GPU Cluster Engineer, Networking

Sciforium•San Francisco, CA

5d•$150,000 - $180,000

About The Position

Sciforium is an AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from AMD engineers the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications. We are looking for a Senior Network Engineer to own the complete networking stack of our GPU clusters — from the RDMA compute fabric to the data center perimeter to cross-site and cloud connectivity. You will design the network architecture for new large-scale clusters, lead its bring-up, and operate it in production. This role owns everything from the NIC port outward: backend InfiniBand/RoCE fabrics, frontend and storage networks, out-of-band management, firewalls and edge security, and the links that connect our clusters to each other and to the cloud. You will work alongside our Hardware Operations team (physical install) and Systems & Platform team (host software stack) to deliver a fabric that never becomes the bottleneck.

Requirements

7+ years designing and operating production data center networks, including at least one large-scale HPC/AI cluster fabric (InfiniBand or RoCE v2) you designed or ran.
Expert-level routing and switching: BGP (including EVPN-VXLAN), OSPF, ECMP, VRF segmentation, across at least two major vendor platforms.
Deep RDMA expertise: lossless RoCE v2 tuning (PFC/ECN/DCQCN) and/or InfiniBand fabric management (subnet managers, adaptive routing, SHARP).
Hands-on experience with 100–800G optics, high-radix switching, and Clos/rail-optimized topologies.
Production network security experience: enterprise firewalls, site-to-site and remote-access VPNs, segmentation design.
Network automation proficiency: Python plus Ansible (or Nornir/NAPALM), with Git-based configuration workflows.
Working knowledge of the host-side RDMA stack (MOFED/DOCA, NIC tuning, GPUDirect) and how NCCL/RCCL collectives map onto physical fabric.
Cloud networking experience: VPC design and dedicated interconnects (Direct Connect/ExpressRoute class).

Nice To Haves

Dark fiber / DWDM procurement and operations experience.
BlueField DPU or SmartNIC deployments.
Experience supporting distributed training at 1,000+ GPU scale, or multi-cluster/cross-site training.
Kubernetes networking for GPU serving (CNI, SR-IOV, Multus).
Expert certifications (CCIE/JNCIE) or NVIDIA networking certification (InfiniBand/Spectrum-X/UFM).

Responsibilities

Architect the full network for new GPU clusters — compute/backend fabric, storage network, in-band frontend, out-of-band management (BMC/IPMI), and perimeter — including topology (fat-tree/Clos, rail-optimized), oversubscription analysis, and growth planning.
Design and justify InfiniBand (NDR/XDR, Quantum-class) vs. lossless Ethernet/RoCE v2 (Spectrum-X, Tomahawk-class) fabrics for training and inference workloads, including scale-up domains (NVLink/NVSwitch, NVL72-class rack systems).
Specify switches, NICs (ConnectX/BlueField), optics (400/800G OSFP/QSFP-DD), and cabling plans; produce the port maps and cable schedules Hardware Operations executes.
Own IP addressing plans, VLAN/VRF segmentation, and BGP/EVPN-VXLAN underlay-overlay architecture.
Configure and validate RoCE v2 at scale — PFC, ECN/DCQCN congestion control, QoS/DSCP classification, buffer tuning — and prove no-drop behavior under full training load.
Run subnet managers (UFM/OpenSM), adaptive routing, SHARP in-network aggregation, partition keys, and virtual-lane QoS.
Benchmark and sign off new fabrics with perftest/ib_write_bw and nccl-tests/rccl-tests; verify GPUDirect RDMA paths and topology-aware placement with the Systems & Platform team.
Root-cause fabric-level issues — congestion trees, ECMP polarization, link flaps, degraded optics, straggler nodes caused by the network.
Configure and maintain BGP, OSPF, ECMP, and EVPN-VXLAN across multi-vendor NOSes (Arista EOS, NVIDIA Cumulus, Cisco NX-OS, Junos, SONiC).
Own firewalls, VPNs (WireGuard/IPsec), NAT, ACLs, and network segmentation between production, research, and management domains.
Generate configs from a source of truth (NetBox), deploy via Ansible/Nornir/NAPALM with Git-reviewed, CI-validated changes and zero-touch provisioning for new switches.
Build fabric observability — streaming telemetry/gNMI, sFlow, optics DOM, buffer/drop counters — into Prometheus/Grafana with actionable alerting.
Run switch/NIC firmware upgrade campaigns with minimal workload disruption, and serve as escalation point for network incidents.
Design and operate dark fiber and DWDM capacity between sites, including latency budgeting and carrier/IX peering.
Architect AWS Direct Connect / Azure ExpressRoute / GCP Interconnect links, VPC and Transit Gateway designs, and VPN failover paths.
Engineer WAN QoS and traffic paths for cross-cluster replication, dataset transfer, and checkpoint traffic.