- 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.