SpacexAI is building and operating large-scale networks that underpin training and inference infrastructure, including high-performance / supercompute fabrics that connect GPU clusters, plus the core, edge, and datacenter networks that keep that infrastructure reachable and reliable.

We need a Network Engineer who is strong on fundamentals and comfortable owning production network design, deployment, and operations end to end. This is a hands-on engineering seat — not a NOC technician role and not a network-software (telemetry/ZTP platform) SWE role. You will design and build networks, qualify platforms, ship changes safely, and keep availability and performance high as we scale.

Travel to Memphis (and other build sites) may be required for capacity build-outs. You will participate in a team on-call rotation.

Design, deploy, and operate production datacenter and campus/core networks at scale

Own routing and switching configuration standards (BGP and at least one IGP such as OSPF or IS-IS), including change design, peer reviews, and execution

Qualify new network platforms, optics, and topologies; contribute to architecture and capacity planning

Build and improve monitoring, alerting, and operational documentation so issues are caught and fixed quickly

Troubleshoot Layer 2/Layer 3 incidents end to end — from link flaps and optics through routing and traffic engineering — and drive root cause and lasting fixes

Automate repetitive network tasks with Python, Ansible, or similar tooling where it reduces toil

Partner with compute, facilities, and software teams during cluster build-outs and maintenance windows

Support high-performance / supercompute network environments (Ethernet AI/HPC fabrics, RoCE/RDMA-capable designs) as part of the broader network estate — deep specialist RoCE/NCCL ownership is a plus, not the bar for this seat

Network Engineer

Responsibilities

Qualification

Required

Preferred

Benefits

Company

xAI

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