Senior System Software Engineer, Software Defined Networking

We are looking for a Senior 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, Open Flow) Build Infrastructure-as-a-Service virtual network orchestration and services using g RPC and REST to support tenant workload security and performance SLAs for BMaa S, VMaa S, 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 (Git Lab) across Linux host networking, OVS, OVN, and Kubernetes CNIs Implement Git Ops approaches or related experience for secure, seamless integration with cloud infrastructure; Drive reliability through incident management, resource monitoring, and performance tuning Collaborate with SRE, Dev Ops, and network engineering teams on production readiness and operational tooling What we need to see: BS/MS in Computer Science or related technical field, or a comparable blend of education and relevant experience 5+ years of proven experience in software development for large-scale distributed environments Expert-level knowledge of OVN, OVS, Open Flow, 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, Argo CD, Flux) Experience designing and operating complex, multi-stage CI/CD pipelines Hands-on experience developing secure, high-performance services using g RPC and REST with TLS and strong authentication Strong knowledge of datacenter routing, switching, and Linux host/VM networking Ways 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 deployments SRE/Dev Ops top-level expertise — on-call, incident management, operations focused on service reliability targets, production ownership Experience with observability platforms and tools (Prometheus, Grafana, Jaeger, Open Telemetry, ELK) NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.