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Senior System Software Engineer, Software-Defined Networking

NVIDIA•Canada, United States•🌍 Remote
Full-timeSenior
$224k - $357k
per year
👁️ 0 views•📝 0 applications•Posted 9/15/2026•Expires 10/16/2026
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Job Description

Within the NVIDIA Gaming Network (NGN) infrastructure/storage group, theNGN Software-Defined Storage (SDS) team focuses on storage and infrastructure software for NGN/GeForce NOW, with work spanning NGN 2.

x Kubernetes, block storage, performance/scale, security, tenant storage, tenant gameseat, and related central NGN services.

NVIDIA is looking for a Senior System Software Engineer (SDN) to advance software-defined networking for global GPU cloud infrastructure that enables AI workloads, cloud gaming, content delivery, and other accelerated services.

Build and operate secure, programmable cloud networking using Open vSwitch, OVN, Kubernetes, C, and Go. Collaborate with senior engineers, NVIDIA architects, and partner teams to lead architecture, implementation, qualification, issue response, and production improvements.

What you'll be doing: Collaborate with engineers and architects to define, review, and evolve multi-tenant control-plane and data-plane architecture using Open vSwitch, OVN, OpenFlow, and overlay network technologies.

Demonstrate technical leadership and mentorship through design and code reviews, implementation guidance, production-readiness decisions, and improvements to engineering quality.

Develop and review production software for Kubernetes networking, network plugins, distributed control planes, Linux host networking, virtual-machine networking, and network automation.

Translate product and infrastructure requirements into secure orchestration services, APIs, component boundaries, state models, compatibility strategies, and delivery plans while driving shared decisions.

Drive Open vSwitch and OVN integration across flow behavior, configuration, lifecycle management, upgrades, interoperability, performance, failure recovery, and large-scale production operation.

Build and implement automated unit, integration, system, performance, scale, and upgrade tests connected to continuous integration, deployment, and release-qualification workflows. Shar

Required Skills

KubernetesLeadershipLinuxSoftware Engineering

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