Senior Software Engineer - Cluster Networking

NVIDIA AI; Durham (NC); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA AI seeks a Network Architect to lead the architecture for GPU superclusters, owning the internal and external communication infrastructure across large-scale deployments.

You will design and scale CNI data planes, overlay meshes, and L7 gateways to support multi-thousand-node environments, requiring 6+ years in systems engineering and strong Kubernetes networking expertise.

Qualifications

• 6+ years in systems or infrastructure software engineering with deep Kubernetes networking expertise.
• Proficiency in Linux networking fundamentals and systems programming languages Go, Python, or C.

Responsibilities

• Lead the network architecture for GPU superclusters, owning internal and external communication infrastructure.
• Design and scale CNI data planes, overlay meshes, and L7 gateways to support multi-thousand-node environments.

Skills

Kubernetes

Networking

Linux

Go

Python

C

Calico

Tailscale

WireGuard

Envoy

Cloudflare

Distributed systems

Network architecture

CNI

Debugging

Infrastructure

Tools

Kubernetes

Calico

Tailscale

WireGuard

Envoy

Cloudflare

CNI

Job description

You will lead the network architecture for GPU superclusters, owning the internal and external communication infrastructure. This includes designing and scaling CNI data planes, overlay meshes, and L7 gateways to support multi-thousand-node environments.

Requirements:

Candidates must have 6+ years of experience in systems or infrastructure software engineering with deep expertise in Kubernetes networking. Proficiency in Linux networking fundamentals and systems programming languages like Go, Python, or C is required.

Key Skills:

Kubernetes, Networking, Linux, Go, Python, C, Calico, Tailscale, WireGuard, Envoy, Cloudflare, Distributed systems, Network architecture, CNI, Debugging, Infrastructure

Benefits:

Equity, Benefits