Location: Remote (US). Must be based in Dallas, San Francisco or New York City. Remote for now, with hybrid planned further down the road.
Pay:
L6 (Staff): $270,400–$365,000
L7 (Sr. Staff): $341,400–$401,600
Compensation is not an issue for the right person. The role pays nearly all cash: the bonus is folded into base, and there is an equity component on top.
A late-stage AI cloud company backed by NVIDIA, with a valuation in the billions, runs AI compute out of data centers around the world and is building dedicated, isolated GPU clusters for customers running AI training and inference. This role designs, builds and automates the data center networks underneath that platform, and keeps them running in production.
What you'll do
Design and build data center network fabrics for large GPU clusters
Automate network provisioning, configuration and change management in code
Own BGP, routing policy, VLANs, VRFs and EVPN/VXLAN across sites
Bring up and tune GPU networking (InfiniBand, RoCE) for performance and isolation
Build network telemetry, and lead troubleshooting and incident response
Work with the Kubernetes platform, compute and security teams
What you bring
Production ownership of bare-metal leaf-spine data center networks
Deep networking: TCP/IP, BGP, ECMP, segmentation, interconnects
Network automation in Go or Python, with GitOps and controlled rollouts
Linux and Kubernetes networking fundamentals
Nice to have: NVIDIA AI networking (InfiniBand, Spectrum-X, RDMA); Netris, UFM or NetBox; multi-site connectivity for large GPU clusters
Mural Group is recruiting for this role on behalf of a client. Apply here and a Mural recruiter will be in touch.
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