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# Senior Networking Software Architect

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $184,000.0 - $287,500.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Cloud Engineering, Computer Networks, Computer Engineering, Network Interface Controllers, General-Purpose Computing on Graphics Processing Units, Hardware Platform Interface, Network Administration, Software Requirements Analysis, Kubernetes, Information Technology
- **Published:** November 6, 2026
- **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Networking-Software-Architect_JR2028311

## About the Role

* B.Sc. or M.Sc. in Computer Engineering, Computer Science, or Electrical Engineering or equivalent experience.
 * 8+ years of experience in systems/platform architecture, with at least 5 years in a senior leadership or director-level role.
 * Strong knowledge of NIC/DPU architectures, GPU computing, and managing networks on a large scale.
 * Demonstrated experience in outlining and providing complex, multi-component platform solutions.
 * Outstanding ability to drive alignment across hardware, software, and product teams.
 * Excellent communication and presentation skills, with the ability to influence at the executive level.
 * Ability to quickly adapt to new technologies and drive innovative solutions for complex requirements.

Ways to Stand Out from the crowd:

 * Proven experience directing large-scale, cross-functional engineering programs - from architecture definition through delivery - with a history of delivering complex systems on schedule and at scale.
 * Familiarity with network management and orchestration frameworks such as UFM, DOCA, or Kubernetes networking.
 * Background in defining platform standards or reference architectures adopted across the industry.

## Description

* Define and take responsibility for the complete platform architecture covering NICs and network management for computing clusters and data-centers.
 * Drive the strategic vision for coordinated platform solutions addressing AI training/inference and cloud-native workloads.
 * Lead cross-functional collaboration with GPU, NIC, DPU, and network management groups to ensure seamless hardware-software co-design.
 * Define platform-level software stacks, APIs, and management frameworks that orchestrate networking, compute, and acceleration resources.
 * Conduct and lead research into emerging network technologies, GPU-networking convergence, and large-scale cluster management.
 * Collaborate closely with hardware platform architects to define and communicate software requirements, ensuring they are reflected in future hardware platform builds and architectural decisions.