> Markdown version of [/jobs/ext/4475950-senior-software-architect-gpu-networking](https://www.wearedevelopers.com/jobs/ext/4475950-senior-software-architect-gpu-networking). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Architect, GPU Networking - **Company:** NVIDIA Corporation - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $184,000.0 - $287,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Networks, Computer Engineering, Data Centers, InfiniBand, Network Architecture, Software Architecture, Virtualization Technology, Deep Learning, Kubernetes, Information Technology - **Published:** October 11, 2026 - **Apply:** https://www.careerboard.com/us/en/find-jobs-in-United-States/-25B3B5D7B5A30AA9E3/ ## About the Role * Hold a B.Sc., M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering (or equivalent experience). * 8+ years of proven experience as a software architect. * Proven Networking experience. * A teammate with a can-do attitude, high energy and excellent interpersonal skills. * Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment. Ways to stand out from the crowd: * SDN definition/development experience * InfiniBand hands-on experience * Experience in Kubernetes. * Stellar communication skills. ## Description As a Senior Software Architect in the GPU Networking Architecture team, you will define Software Defined Networking (SDN) architectural solutions and be part of a team of specialists who span across numerous technological fields related to the modern data center, such as distributed AI and deep learning systems, Networking Operating Systems, Virtualization, Storage, and more. What you'll be doing: * Define system and software architecture for Software Defined Networking (SDN) of ground breaking emerging AI networks which involves innovative software and hardware. * Promote team specs and activities with US based customers and GPU Networking peers. * Be an active member in setting the use-cases and metrics for Monitoring Complex High-speed Networks Control-plane. * Work closely with various groups within NVIDIA to bring AI network technologies to reality, including GPU and Switch HW and SW teams, Product as well as fellow architects.