Senior Kubernetes Networking Engineer for GPU Clusters

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Santa Clara, CA seeks a senior networking engineer to own how our clusters communicate, including the CNI data plane, overlay mesh, and regional connections. You will design, operate, and scale Kubernetes networking for GPU clusters at multi-thousand-node scale using modern topologies.

You will design, operate and scale L7 gateways, VPN topologies (Tailscale/WireGuard), and gateways that connect control and data planes, while diagnosing advanced scale challenges and collaborating

Qualifications

• BS/MS in Computer Science, Electrical Engineering or related field required.
• 6+ years of professional experience in systems, network or infrastructure software engineering.
• Deep command of Kubernetes networking and CNI standards; production experience with Calico preferred.
• Proficiency designing and maintaining modern mesh and VPN topologies (Tailscale, WireGuard).
• Strong Linux networking fundamentals: routing, iptables/nftables, namespaces, and interaction with container runtimes.
• Ability to debug distributed network problems at scale using packet capture and tracing.
• Proficiency in Go, Python, or C/C++.
• Clear written and verbal communication; collaboration across time zones.

Responsibilities

• Own how clusters communicate internally and externally, including CNI data plane, overlay mesh, and inter-region connections.
• Own and evolve the Kubernetes networking architecture for GPU clusters at multi-thousand-node scale.
• Design, operate and scale overlay networks (CNI, mesh, VPN topologies) and gateways that connect control and data planes.
• Design, operate and scale L7 gateways/load balancers/tunnels (Envoy, Cloudflare).
• Identify scale ceilings: packet loss under load, control-plane saturation, IP exhaustion, and failure modes at scale.
• Build scale-test environments and validation suites to catch networking regressions before production.
• Diagnose hard, ambiguous problems across the stack (Slurm, training jobs, routing issues).
• Partner with cloud/neocloud providers on network topology as new clusters are brought up.
• Provide senior technical judgement to a distributed team with depth in the Kubernetes networking domain.

Skills

Kubernetes networking

CNI & Calico

Mesh & VPN topologies

Envoy / L7 load balancers

Go / Python / C

Linux networking fundamentals

Distributed tracing

Communication

Education

BS/MS in Computer Science/EE or related field

Tools

Calico

Tailscale

WireGuard

Envoy

Cloudflare

Job description

NVIDIA in Santa Clara, CA seeks a senior networking engineer to own how our clusters communicate, including the CNI data plane, overlay mesh, and regional connections. You will design, operate, and scale Kubernetes networking for GPU clusters at multi-thousand-node scale using modern topologies.

You will design, operate and scale L7 gateways, VPN topologies (Tailscale/WireGuard), and gateways that connect control and data planes, while diagnosing advanced scale challenges and collaborating