Senior Networking Architect

Posted 3 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and research next-generation data-center networking solutions spanning ASIC design, algorithms, topologies, routing protocols, and systems. Collaborate with internal teams, partners, standards bodies, and communities to develop networking technologies for AI and accelerated computing.
Summary Generated by Built In

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 the pay of employees in similar positions. The base salary range is 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 July 25, 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.

Skills Required

  • B.Sc or M.Sc 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 ASICs
  • Proven understanding of networking and routing protocols and their implementations
  • Strong problem-solving and critical thinking skills
  • Ability to work in a highly dynamic, multifaceted environment and coordinate with multiple groups and strategic partners
  • 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
  • Experience with industry standards bodies and/or open source networking communities
  • Strong skills with Python and/or C++

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

Similar Jobs

NVIDIA Logo NVIDIA

Senior Solutions Architect

Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
In-Office or Remote
2 Locations
21960 Employees
184K-357K Annually

NVIDIA Logo NVIDIA

Senior Solutions Architect

Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
In-Office
Santa Clara, CA, USA
21960 Employees
224K-431K Annually

NVIDIA Logo NVIDIA

Senior Solutions Architect

Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
In-Office
Santa Clara, CA, USA
21960 Employees
184K-357K Annually

NVIDIA Logo NVIDIA

Senior Software Architect

Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
In-Office or Remote
3 Locations
21960 Employees
184K-357K Annually

Similar Companies Hiring

Legora Thumbnail
Artificial Intelligence • Legal Tech • Software
New York, New York
700 Employees
Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account