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Principal Engineer, Software Defined Networking

NVIDIA · full-time · posted 29 Oct

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The actual job

Principal Engineer, Software Defined Networking

NVIDIA

Seniority
Principal
Top skills
AWS · Azure · GCP
Engagement
Full-time
Posted
4 days ago

What the posting asks for

  • 15 years of experience
  • OVN
  • OVS
  • OpenFlow
  • Kubernetes

Employer text

The posting, in its own words

We are looking for a Principal System Software Engineer, Software Defined Networking to design, build, and operate highly performant and scalable SDN solutions for NVIDIA's AI Clouds hosting GPU-accelerated workloads — including hyperscale multi-node training, inference, cloud gaming, and cloud functions. This role spans the full lifecycle of our SDN stack — from designing and developing new control and data plane software to ensuring operational excellence in production through reliability engineering, CI/CD, observability, and incident response.What you'll be doing:Design and develop next-generation multi-tenant cloud SDN control and data plane software (OVS, OVN, OpenFlow)Build Infrastructure-as-a-Service virtual network orchestration and services using gRPC and REST to support tenant workload security and performance SLAs for BMaaS, VMaaS, and KubernetesDrive upstream contributions to OVN-Kubernetes and related open-source projectsDevelop software for network observability — monitoring, telemetry, intelligent metering, and performance analysisOperate and support OVS-OVN based SDN solutions in large-scale NVIDIA AI Cloud environmentsOwn end-to-end observability for the SDN stack — build and maintain monitoring, alerting, distributed tracing, and dashboarding to ensure real-time insight into network health, performance, and tenant SLAsDesign, enhance, and maintain CI/CD pipelines (GitLab) across Linux host networking, OVS, OVN, and Kubernetes CNIsImplement GitOps approaches or related experience for secure, seamless integration with cloud infrastructureCollaborate with SRE, DevOps, and network engineering teams on production readiness and operational toolingWhat we need to see:BS/MS in Computer Science or related technical field, or a comparable blend of education and relevant experience15+ years of proven experience in software development for large-scale distributed environmentsExpert-level knowledge of OVN, OVS, OpenFlow, and modern network protocolsStrong programming skills in C and Go; advanced scripting in Bash and PythonDeep knowledge of Kubernetes, practical experience deploying and supporting CNIs (OVN-Kubernetes)Hands-on experience with Infrastructure-as-Code and deployment tools (Ansible, Terraform, ArgoCD, Flux)Experience designing and operating complex, multi-stage CI/CD pipelinesHands-on experience developing secure, high-performance services using gRPC and REST with TLS and strong authenticationStrong knowledge of datacenter routing, switching, and Linux host/VM networkingWays to stand out from the crowd:Contributions to open-source projects (especially OVS, OVN, OVN-Kubernetes, or other Kubernetes networking projects)Experience with hardware acceleration (GPU, DPU or equivalent experience) for networking Practical experience with major cloud providers (AWS, Azure, GCP) and hybrid/multi-cloud deploymentsSRE/DevOps top-level expertise — on-call, incident management, operations focused on service reliability targets, production ownershipExperience with observability platforms and tools (Prometheus, Grafana, Jaeger, OpenTelemetry, ELK)