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.
What we need to see
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
Ways to stand out from the crowd
Direct experience architecting and operating massive-scale Kubernetes topologies across thousands of concurrent nodes
Experience with high-performance fabrics in AI or HPC environments - InfiniBand, RoCE, or RDMA over converged networks
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
- Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
- 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
