Senior Networking Architect

NVIDIA is hiring a Senior Networking Architect in Santa Clara, United States. It pays $152k-$242k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: 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 Networking has been a leader in high performance networking infrastructure for many years. The next unit of computing is the datacenter, and the network makes it all possible. NVIDIA is looking to grow its networking architecture team with people passionate about accelerated computing. We are looking for you, a Senior Networking Architect, to develop the next generation of network for AI. If you love researching new technologies, we'd love to hear from you!

What you’ll be doing:

The position includes an active part in research and development of networking solutions to enable the next generation of accelerated data centers.
The position spans over various layers from ASIC design to algorithms, topologies and systems, and more.
Partner with internal teams, strategic partners, standard bodies and networking communities to initiate and develop groundbreaking networking solutions for AI!

What we need to see:

B.Sc or M.Sc degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience
5+ years of previous industry or research experience in computer networks
Experience in developing ASICs and/or real-time software running on the ASICs
Proven understanding in networking and routing protocols, and their implementations
Strong problem-solving and critical thinking skills
Works and operates in a highly dynamic and multifaceted environment
Ability to work concurrently with multiple groups in the organization and with strategic partners

Ways to stand out of the crowd:

Deep knowledge in RDMA, with focus on RoCE
Understanding of various network topologies and their attributes
Understanding and experience with load balancing and congestion control algorithms
Proven practice of industry standards and/or the experience of working with standards organizations and/or open source communities
Strong skills with Python and/or C++

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

#LI-Hybrid

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:
152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 8, 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 Architect at NVIDIA rates 29 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.