Staff Networking Platform Engineer, Infrastructure
About The Position
Mural Group is recruiting on behalf of a late-stage AI cloud company backed by NVIDIA. The company operates AI compute in data centers around the world and is building a managed Kubernetes platform that turns large fleets of bare-metal GPU compute into dedicated, isolated clusters for customers running AI training and inference. The role owns networking across the platform, from Kubernetes cluster networking through the data center fabric and GPU interconnect. It translates customer connectivity, isolation, and performance needs into managed platform features. The position is remote in the US for now, with hybrid work planned further down the road; candidates must be based in Dallas, San Francisco, or New York City. Compensation is listed at $270,400–$365,800 for L6 (Staff) and $341,400–$461,800 for L7 (Sr. Staff). The role pays nearly all cash, with the bonus folded into base compensation and an equity component on top.
Requirements
- Deep networking knowledge, including TCP/IP, BGP, routing policy, ECMP, segmentation, and interconnects.
- Production ownership of bare-metal leaf-spine data center networks with VLANs, VRFs, and EVPN/VXLAN.
- Kubernetes and Linux networking experience, including CNI behavior, Cilium or similar, and network policy.
- Experience with Kubernetes controllers, operators, or custom resources in Go, along with GitOps and controlled rollouts.
- Experience with multitenant infrastructure or managed Kubernetes products.
- Experience securing networks that run customer workloads.
Nice To Haves
- Experience with Netris, UFM, or NetBox.
- NVIDIA AI networking experience, including InfiniBand, Spectrum-X, RDMA, RoCE, or congestion control.
- Experience networking large GPU clusters, including multi-site clusters.
Responsibilities
- Define how networking features are requested, provisioned, changed, observed, and removed.
- Automate tenant and node network lifecycles with Kubernetes-native tooling, including safe recovery from partial failures.
- Manage BGP, routing policy, VLANs, overlays, VIPs, load balancers, and public IPs through fabric APIs.
- Automate GPU networking, including NVL72, InfiniBand, RoCE, and GPUDirect, and validate isolation and performance.
- Own IPAM and inventory integration to keep intended configuration, applied state, and inventory in sync.
- Set segmentation and traffic policy with security engineering, and enforce standards through GitOps and drift reconciliation.
- Own network telemetry, troubleshooting, and incident response.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
