Senior Networking Software Architect

NVIDIA is hiring a Senior Networking Software Architect in Santa Clara, United States. It pays $184k-$288k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
Level classes it as a senior role.
NVIDIA has 2,700+ other open roles on Level.
Posted in the last few days.

AI in this role

NVIDIA is looking for a dedicated Senior Networking Software Architect to join our team in Santa Clara. This outstanding opportunity allows you to develop the future of AI and data-center infrastructure by integrating NICs, GPUs, and network management into cohesive, high-performance solutions. You will be part of a world-class team, driving innovation and delivering flawless solutions that define the next era of computing!

What You'll Be Doing:

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.

What We Need to See:

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.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 9, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

How we rate this

Senior Networking Software Architect at NVIDIA rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.