GPU Cluster Engineer, Networking

Sciforium Corporation
San Francisco, CA, United States
29 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$150,000.0 - $180,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Intelligent Platform Management Interface Border Gateway Protocol Common Lisp Object Systems Cloud Computing Computer Clusters Network Congestion Wavelength-Division Multiplexing Data Centers Extract Transform Load (ETL)
+39 more
Software Debugging Network Address Translation Distributed Computing Environment Ethernet Network Interface Controllers Firmware InfiniBand IP Addressing Internet Protocol Security (IP SEC) Storage Area Network (SAN) Subnetting Virtual Private Networks (VPN) Junos Python (Programming Language) Network Security Network Architecture Network Planning and Design Network Segmentation Open Shortest Path First (OSPF) Operational Databases Remote Direct Memory Access Remote Access Technology Ansible Prometheus Virtual Local Area Networks Network Switches Computer Network Operations Nx-os Grafana HybridCloud Firewalls (Computer Science) Amazon Virtual Private Cloud (VPC) Backend Git Kubernetes Routing & Switching Front End Software Development Open Network Automation Platform Cisco

Job description

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., * Fabric Architecture & Cluster Network Design

  • Greenfield Design: 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.
  • RDMA Fabric Selection: 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).
  • Hardware & Physical Plant: Specify switches, NICs (ConnectX/BlueField), optics (400/800G OSFP/QSFP-DD), and cabling plans; produce the port maps and cable schedules Hardware Operations executes.
  • Logical Design: Own IP addressing plans, VLAN/VRF segmentation, and BGP/EVPN-VXLAN underlay-overlay architecture.
  • RDMA & Performance Engineering
  • Lossless Ethernet: 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.
  • InfiniBand Operations: Run subnet managers (UFM/OpenSM), adaptive routing, SHARP in-network aggregation, partition keys, and virtual-lane QoS.
  • Fabric Validation: 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.
  • Performance Debugging: Root-cause fabric-level issues - congestion trees, ECMP polarization, link flaps, degraded optics, straggler nodes caused by the network.
  • Production Network Operations & Security
  • Routing & Switching: Configure and maintain BGP, OSPF, ECMP, and EVPN-VXLAN across multi-vendor NOSes (Arista EOS, NVIDIA Cumulus, Cisco NX-OS, Junos, SONiC).
  • Perimeter & Security: Own firewalls, VPNs (WireGuard/IPsec), NAT, ACLs, and network segmentation between production, research, and management domains.
  • Network as Code: 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.
  • Telemetry: Build fabric observability - streaming telemetry/gNMI, sFlow, optics DOM, buffer/drop counters - into Prometheus/Grafana with actionable alerting.
  • Lifecycle & On-Call: Run switch/NIC firmware upgrade campaigns with minimal workload disruption, and serve as escalation point for network incidents.
  • Cross-Cluster & Cloud Connectivity
  • Inter-Site Links: Design and operate dark fiber and DWDM capacity between sites, including latency budgeting and carrier/IX peering.
  • Hybrid Cloud: Architect AWS Direct Connect / Azure ExpressRoute / GCP Interconnect links, VPC and Transit Gateway designs, and VPN failover paths.
  • Data Movement: Engineer WAN QoS and traffic paths for cross-cluster replication, dataset transfer, and checkpoint traffic.

Requirements

  • Must-Haves:
  • 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).

Benefits & conditions

Pulled from the full job description

  • 401(k)
  • Health insurance
  • Vision insurance
  • Dental insurance, * Medical, dental, and vision insurance
  • 401k plan
  • Daily lunch, snacks, and beverages
  • Flexible time off
  • Competitive salary and equity

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