Senior Product Manager, AI Software Defined Networking

NVIDIA•Redmond, WA

10d•$208,000 - $379,500•Hybrid

About The Position

NVIDIA is building an open, upstream-first software-defined networking stack for AI factories. Built on OVN, OVS, and OVN-Kubernetes, the stack provides bare-metal-class network performance and multi-tenant isolation for VMs, Kubernetes pods, and bare-metal hosts, and ships across NVIDIA and NVIDIA Cloud Partner (NCP) DSX deployments. This is a networking product role covering North/South tenant networking, East/West GPUDirect networking over Spectrum-X, the OVN-Kubernetes CNI, and OVN host networking. The Product Manager will help guide the stack throughout its scope and influence the upstream OVN, OVS, and OVN-Kubernetes ecosystems. This includes deciding which capabilities should be developed upstream, guiding that work, and aligning it with NVIDIA releases. The role partners with engineering, NVIDIA ISVs and cloud partners, and the open-source community to define strategy and requirements, make product and architecture trade-offs, and deliver networking capabilities for the AI Factory.

Requirements

12+ years in technical product management, grounded in networking such as SDN, data center networking, or cloud network infrastructure.
Depth in network fundamentals, including overlays and underlays, VRF, VxLAN, BGP/EVPN, ACLs, NAT, routing, and load balancing.
Familiarity with OVN/OVS and how logical networking maps to a hardware-offloaded data plane on a DPU or SmartNIC.
Comfort with Kubernetes as a networking delivery surface, including the CNI model, CRDs, and how pod and VM networking is provisioned and isolated.
A track record of crafting multi-quarter product vision and shipping networking or infrastructure products with engineering teams.
Experience in or alongside open-source communities and with cloud service providers or platform partners.
Bachelor's degree in Computer Science, Electrical Engineering, or equivalent experience.

Nice To Haves

Hands-on work with OVN, OVS, or OVN-Kubernetes and the upstream cloud-native community, including CNCF or Kubernetes SIGs.
DPU/SmartNIC-accelerated networking, hardware offload, or data-plane acceleration experience.
BGP/EVPN control-plane design and VRF/VxLAN multi-tenant isolation in production fabrics.
GPU or HPC cluster networking experience, including GPUDirect, RoCE, or Spectrum-X fabrics.
Experience taking a project into open source, including defining community and contribution strategy.

Responsibilities

Set the product strategy and multi-quarter roadmap for AI Factory SDN open-source projects.
Guide upstream development across OVN, OVS, and OVN-Kubernetes, including identifying features for upstream development, deciding what ships where, and aligning NVIDIA's work with the community.
Define requirements and priorities and make trade-off decisions that keep the roadmap focused and shippable.
Surface key product and architecture decisions and resolve them with engineering partners.
Map dependencies across internal DPU, fabric, and virtualization teams and upstream releases, flag risks early, and keep the critical path clear.
Work with NCP operators and ISVs to translate their needs into the roadmap and ready reference deployments.
Represent the work to the open-source community and NVIDIA leadership.