Senior Networking Engineer

We are looking for a senior networking engineer to lead the network architecture of our GPU superclusters. Our platform runs frontier model training across tens of thousands of GPUs on multiple clouds, and we are scaling it toward clusters of ten thousand nodes and beyond.

As a senior networking engineer, you will be the technical owner of how our clusters communicate internally and externally. This includes the CNI data plane, the overlay mesh, and the nodes connecting clusters across regions and providers.

Responsibilities:

• Own and evolve the Kubernetes networking architecture for GPU clusters running at multi-thousand-node scale
• Design, operate and scale the overlay network - CNI, mesh and VPN topologies, and the gateways that connect control and data planes
• Design, operate and scale the L7 gateways/load balancers/tunnels
• Find and eliminate scale ceilings: packet loss under load, control-plane saturation, IP address management exhaustion, and the failure modes that only appear above a few thousand nodes
• Build the scale-test environments and validation suites that let us catch networking regressions before they reach production
• Diagnose hard, ambiguous problems across the stack
• Partner with cloud and neocloud providers on network topology, requirements and capabilities as we bring up new clusters
• Provide senior technical judgement to a distributed team, and depth in the Custer Networking domain.

Requirements:

• BS/MS in Computer Science, Electrical Engineering or a related field, or equivalent experience
• 6+ years of professional experience in systems, network or infrastructure software engineering
• Deep command of Kubernetes networking architecture and CNI standards, with production experience operating Calico strongly preferred
• Proficiency designing and maintaining modern mesh and VPN networking topologies
• Strong Linux networking fundamentals
• Demonstrated ability to debug distributed network problems at scale
• Proficiency in Go, Python, C or a comparable systems language
• Clear written and verbal communication, and the ability to work effectively with engineers across multiple time zones

Nice to have:

• Direct experience architecting and operating massive-scale Kubernetes topologies across thousands of concurrent nodes
• Experience with high-performance fabrics in AI or HPC environments
• Upstream contributions to Calico, Cilium, Tailscale, or Kubernetes networking SIGs
• Experience operating networking across multiple public clouds and on-premises environments simultaneously
• Familiarity with Slurm or other HPC schedulers running on Kubernetes

We offer a base salary between 184,000 USD and 287,500 USD for Level 4, and between 224,000 USD and 356,500 USD for Level 5, as well as equity and benefits.