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Senior System Software Engineer, Software Defined Networking

NVIDIA· Engineer, Sys SW
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Santa Clara, CA, Hybrid (Remote)$184k - $287.5kfull-timePosted 2mo ago

About the role

Senior System Software Engineer to design, build, and operate scalable SDN solutions for NVIDIA's AI Clouds, spanning control and data plane software, observability, CI/CD, and incident response in large-scale GPU-accelerated environments.

Responsibilities

  • 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 Kubernetes
  • Drive upstream contributions to OVN-Kubernetes and related open-source projects
  • Develop software for network observability — monitoring, telemetry, intelligent metering, and performance analysis
  • Operate and support OVS-OVN based SDN solutions in large-scale NVIDIA AI Cloud environments
  • Own 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 SLAs
  • Design, enhance, and maintain CI/CD pipelines (GitLab) across Linux host networking, OVS, OVN, and Kubernetes CNIs
  • Implement GitOps approaches or related experience for secure, seamless integration with cloud infrastructure
  • Drive reliability through incident management, resource monitoring, and performance tuning
  • Collaborate with SRE, DevOps, and network engineering teams on production readiness and operational tooling

Qualifications

  • BS/MS in Computer Science or related technical field, or equivalent experience
  • 8+ years of proven experience in software development for large-scale distributed environments
  • Expert-level knowledge of OVN, OVS, OpenFlow, and modern network protocols
  • Strong programming skills in C and Go; advanced scripting in Bash and Python
  • Deep 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 pipelines
  • Hands-on experience developing secure, high-performance services using gRPC and REST with TLS and strong authentication
  • Strong knowledge of datacenter routing, switching, and Linux host/VM networking

Skills

Required:C programmingGo programmingBashKubernetes
Nice to have:Python

Benefits

  • equity
  • benefits
Last updated Sep 11, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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