10 days ago
Base Salary
$184k - $288k/yr
Responsibilities
- Design and develop multi-tenant SDN control and data plane software using OVS, OVN, and OpenFlow.
- Build Infrastructure-as-a-Service virtual network orchestration and services supporting BMaaS, VMaaS, and Kubernetes workloads.
- Contribute upstream to OVN-Kubernetes and related open-source networking projects.
- Develop network observability capabilities for monitoring, telemetry, intelligent metering, and performance analysis.
- Operate and support OVS-OVN SDN solutions in large-scale NVIDIA AI Cloud environments.
- Build and maintain monitoring, alerting, distributed tracing, and dashboards for SDN health, performance, and tenant SLAs.
- Design and maintain GitLab CI/CD pipelines across Linux host networking, OVS, OVN, and Kubernetes CNIs.
- Implement GitOps integration with cloud infrastructure and drive reliability through incident management, resource monitoring, and performance tuning.
- Collaborate with SRE, DevOps, and network engineering teams on production readiness and operational tooling.
Requirements
- BS/MS in Computer Science or a related technical field, or equivalent experience.
- 8+ years of software development experience in large-scale distributed environments.
- Expert knowledge of OVN, OVS, OpenFlow, and modern network protocols.
- Strong C and Go programming skills with advanced Bash and Python scripting.
- Deep Kubernetes knowledge and practical experience deploying and supporting CNIs, especially OVN-Kubernetes.
- Hands-on experience with Infrastructure-as-Code and deployment tools including Ansible, Terraform, ArgoCD, and Flux.
- Experience designing and operating complex, multi-stage CI/CD pipelines.
- Experience developing secure, high-performance services using gRPC and REST with TLS and strong authentication.
- Strong knowledge of datacenter routing, switching, and Linux host and virtual machine networking.
- Preferred experience contributing to OVS, OVN, OVN-Kubernetes, or other Kubernetes networking projects.
- Preferred experience with GPU, DPU, or equivalent networking hardware acceleration.
- Preferred experience with AWS, Azure, GCP, and hybrid or multi-cloud deployments.
- Preferred SRE/DevOps expertise, including on-call, incident management, operations, and service reliability targets.
- Preferred experience with Prometheus, Grafana, Jaeger, OpenTelemetry, or ELK.
Benefits
- Competitive salary package, equity, and benefits are provided.
- The expected base salary range is USD 184,000–287,500.
- Applications will be accepted at least until November 3, 2026.
Tech Stack
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.