2 days ago
Base Salary
$184k - $357k/yr
Responsibilities
- Own and evolve Kubernetes networking architecture for GPU clusters operating at multi-thousand-node scale.
- Design, operate, and scale CNI, overlay mesh, VPN, gateway, control-plane, and data-plane networking topologies.
- Design and operate L7 gateways, load balancers, and tunnels using Envoy and Cloudflare.
- Identify and resolve scale ceilings involving packet loss, control-plane saturation, IP address management exhaustion, and large-cluster failure modes.
- Build scale-test environments and validation suites to detect networking regressions before production training runs.
- Diagnose distributed networking problems across Slurm, training jobs, hosts, routes, packet marking, and tunnels.
- Partner with cloud and neocloud providers on network topology, requirements, and capabilities.
- Provide senior technical judgment to a distributed engineering team.
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 knowledge of Kubernetes networking architecture and CNI standards, with production Calico experience strongly preferred.
- Experience designing and maintaining mesh and VPN networking topologies, including Tailscale or WireGuard.
- Strong Linux networking fundamentals covering routing, netfilter, iptables/nftables, packet marking, network namespaces, and container runtimes.
- Ability to debug distributed network problems at scale using packet capture, tracing, and cross-host analysis.
- Proficiency in Go, Python, C, or a comparable systems language.
- Clear written and verbal communication and ability to collaborate across multiple time zones.
- Preferred experience architecting massive-scale Kubernetes topologies, operating AI/HPC networking fabrics such as InfiniBand, RoCE, or RDMA over converged networks, contributing to Calico, Cilium, Tailscale, or Kubernetes networking SIGs, operating across public clouds and on-premises environments, or using Slurm and other HPC schedulers on Kubernetes.
Benefits
- Equity and benefits are provided.
- The expected base salary is $184,000–$287,500 for Level 4 and $224,000–$356,500 for Level 5.
- Applications are accepted at least until November 3, 2026.
- This posting is for an existing vacancy.
Tech Stack
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.