Graphcore
Artificial Intelligence
PrincipalNetworkEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Principal Network Engineer at Graphcore. Skills: Network fabrics, RDMA, 400G/800G networks, BGP/OSPF/VXLAN. Maintain network fabrics. Maintain network topologies”
Industry & Context.
tackling challenges at the physical layer; Extensive troubleshooting experience
What They're Looking For.
Must Have
Network Engineering/Security, Information Technology, Computer Science, Computer engineering, 9+ years of hands-on experience in network engineering, 3+ years supporting networking on AI or Hyperscale Datacenters, Knowledge of Remote Direct Memory Access (RDMA), Knowledge of Lossless network, Experience with congestion control, Experience with lossless Ethernet technologies, High-Bandwidth network infrastructure, operating 400G and 800G network fabrics, physical layer for networks operating at these speeds, optical transceivers, non-blocking, multi-tier CLOS networks, Spine / Leaf / Super-Spine, high-density GPU clusters, data center routing protocols, BGP, OSPF, VXLAN implementations, Cross-Functional collaboration
Nice to Have
NetDevOps, Terraform, Ansible, Python, Go, JSON, modern, high-performance hardware, network switch, NIC providers, Broadcom, Arista, Cisco, Pensando, Advanced Network Telemetry, gNMI, Sflow, Netflow, Redfish, Prometheus
What You'll Do.
Maintain network fabrics
Maintain network topologies
operating at peak performance
Collaborate with Network architecture team
design and development lifecycle
stable high-speed network fabrics
Primary support of deployed internal fabrics
Direct escalation for Hardware
Escalation support for customer network fabrics
Triage day-to-day network topologies issues
How You'll Work.
Team & Collaboration
Collaborate closely with our Network architecture team; working closely with network architects; systems hardware engineers; AI software engineers; Datacenter infrastructure teams
Full Job Description
Graphcore is a globally recognized leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialized processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing. RESPONSIBILITIES Responsible for the maintaining all the network fabrics and network topologies operating at peak performance on Graphcore Data centers housing AI server platforms. Collaborate closely with our Network architecture team through all phases of the design and development lifecycle — from concept to deployment — ensuring timely, high-quality, and stable high-speed network fabrics. Primary support of deployed internal fabrics in our AI Datacenters. Direct escalation for Hardware, Link and, Performance issues on network fabrics. Escalation support for customer network fabrics (aligned to reference arch.) Triage day-to-day network topologies (scale-up, scale-out, and front-end networks) issues of Fabrics deployed in Graphcore Datacenters. REQUIREMENTS Bachelor’s, master’s degree or equivalent experience in Network Engineering/Security, Information Technology, Computer Science, Computer engineering, or a related field. 9+ years of hands-on experience in network engineering and 3+ years supporting networking on AI or Hyperscale Datacenters. Knowledge of Remote Direct Memory Access (RDMA) and its implementations, specifically ROCEv2 or InfiniBand Knowledge of Lossless network – Experience with congestion control and lossless Ethernet technologies including PDF, ECN and DCQCN. Versed in High-Bandwidth network infrastructure including experience with operating 400G an
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