Senior Network Engineer (3x Openings)

Volta builds and operates large scale GPU compute infrastructure for AI workloads. The network is not a layer underneath our platform, it is part of it. Fabric design, overlay and multi-tenancy, edge connectivity, and the software that programs and observes all of it sit in one platform engineering team, deliberately.

This is a network role with a software expectation attached. You will need real depth in fabric and routing, because a 20,000 GPU training cluster punishes anyone who understands the network only from documentation. You will also need to write production code, because at this scale anything that requires a human at a CLI does not happen reliably. Configuration is generated from a model, validated in CI, and applied by tooling. If your current work is mostly logging into devices and making changes by hand, this role will be a significant shift.

You will work alongside platform engineers, not adjacent to them: same repositories, same review standards, same definition of done.

What You Will Be Doing:

• Design, build, and operate the network fabric across our sites: leaf-spine Ethernet, BGP underlay, EVPN and VXLAN overlay, and multi-tenant isolation.
• Build and extend the software that manages the fabric: configuration generation from a source of truth, validation pipelines, drift detection, and the tooling that makes change safe at scale.
• Contribute production Python or Go to the platform codebase, including the integration between the physical fabric and the IaaS control plane.
• Own how network capability is exposed upward: the APIs and abstractions through which tenants receive isolated, performant networking.
• Instrument the fabric: streaming telemetry, topology-aware metrics, and tooling that makes a fabric of this size understandable.
• Work with the bring-up teams during cluster deployment: fabric build, validation, acceptance testing, and turning the pain points you find into platform features rather than tribal knowledge.
• Debug the hard problems: congestion and packet loss under collective communication load, and the class of failure where controller state and hardware state disagree.
• Take part in on-call, incident response, and the follow-up work that closes structural gaps rather than only the immediate issue.
• Evaluate designs and configurations proposed by OEMs and partners, and challenge them where they do not fit our requirements.
• Participate in code review, technical design discussions, and cross-team collaboration in an Agile (Kanban or Scrum) environment.

Depending on your background, you will go deeper in one of these areas:

• GPU fabric: RoCE v2 and InfiniBand for training traffic, congestion control tuning, rail-optimized topology, and the performance validation that proves a cluster is fit for workloads.
• SDN and overlay integration: the software boundary between the fabric and the platform, controller and API-driven fabric programming, and multi-tenant network provisioning.
• Edge connectivity: external connectivity, BGP peering, transit and IX relationships, and our public autonomous system.
• Fabric observability: telemetry pipelines, fabric health tooling, and making network state queryable rather than inspectable.

What You Bring:

• 4+ years in data center or cloud network engineering, in production environments where downtime had real consequences.
• Ethernet fabric depth: leaf-spine design, BGP including unnumbered BGP, ECMP, and the day-two realities of operating it.
• EVPN and VXLAN in production, including what happens to an overlay under multi-tenant load.
• Production software development, not scripting. Python or Go in a shared repository, under normal review, testing, and CI standards. Tools only you can run are not what we mean.
• Network automation in practice: configuration as code, a source of truth system such as NetBox or Nautobot, and declarative tooling.