Senior GPU Cluster Networking Architect — Multi-Cloud Scale

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA is seeking a senior networking engineer to lead the network architecture of our GPU superclusters. You will own how clusters communicate internally and externally, across regions and providers.

Responsibilities include evolving Kubernetes networking for multi-thousand-node GPUs, designing overlay networks (CNI, mesh, VPN), L7 gateways, and building scale-test suites to catch regressions before production. Strong Linux networking and Go/Python/C skills required.

Qualifications

• 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 - Tailscale, WireGuard or equivalent.
• Strong Linux networking fundamentals: routing, netfilter and iptables/nftables, packet marking, network namespaces, and how these interact with container runtimes.
• Demonstrated ability to debug distributed network problems at scale - packet capture, tracing, and correlating behaviour across many hosts to find a single root cause.
• 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.

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 (Tailscale, WireGuard), and the gateways that connect control and data planes.
• Design, operate and scale the L7 gateways/load balancers/tunnels (Envoy, Cloudflare).
• 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, rather than during a training run.
• Diagnose hard, ambiguous problems across the stack - where a symptom in Slurm or a training job traces back to a mark collision, a stale route, or a saturated tunnel.
• 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.

Skills

Kubernetes networking

CNI

Calico

Tailscale

Linux networking

Go

Python

C

Communication

Education

BS/MS in Computer Science or Electrical Engineering or related field

Tools

Calico

Kubernetes

Cilium

Tailscale

Job description

NVIDIA is seeking a senior networking engineer to lead the network architecture of our GPU superclusters. You will own how clusters communicate internally and externally, across regions and providers.

Responsibilities include evolving Kubernetes networking for multi-thousand-node GPUs, designing overlay networks (CNI, mesh, VPN), L7 gateways, and building scale-test suites to catch regressions before production. Strong Linux networking and Go/Python/C skills required.