Staff Infrastructure Engineer, Networking

Mural-Group; San Francisco (CA); Remote; USD 270,000 - 402,000; Full time

Job summary

Mural-Group is seeking a highly skilled network engineer to design and operate data center fabrics for large GPU clusters. The role focuses on building scalable, automated networking pipelines and ensuring performance isolation across multi-site deployments.

You will own BGP, EVPN/VXLAN, and network telemetry while collaborating with Kubernetes, compute, and security teams to deliver reliable AI compute infrastructure.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Production ownership

Deep networking

Go or Python scripting

Linux networking

Kubernetes networking

Tools

GitOps

Job description

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 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