Networking Architect

Posted 2 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
124K-196K Annually
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and research next-generation datacenter networking solutions across ASIC design, algorithms, topologies and systems. Collaborate with internal teams, partners, standards bodies and open-source communities to develop networking technologies that enable accelerated AI data centers.
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! We are looking to grow our networking architecture team with people passionate about accelerated computing. We are looking for you - a Networking Architect, to develop the next generation of network for AI.

What you’ll be doing:

This role requires an active part in research and development of networking solutions to enable the next generation of accelerated data centers. It spans over various layers from ASIC design to algorithms, topologies and systems, and more. You will 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

  • 4+ years of previous industry or research experience in computer networks

  • Experience in developing networking applications, ASICs and/or real-time SW running on the ASICs

  • Understanding in networking and routing protocols

  • Possess strong problem solving and critical thinking skills

  • Work and operate in a highly sophisticated environment

  • Ability to work concurrently with multiple groups in the organization and with strategic partners

Ways to stand out of the crowd:

  • 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

  • Practice of industry standards and/or the experience of working with standards organizations and/or open source communities

  • Possess strong skills with Python and/or C++

With competitive salaries and a generous benefits package, we are 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 unprecedented growth, our outstanding 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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD.

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
  • 4+ years of industry or research experience in computer networks
  • Experience developing networking applications, ASICs and/or real-time software running on ASICs
  • Understanding of networking and routing protocols
  • Strong problem solving and critical thinking skills
  • Ability to work concurrently with multiple groups and strategic partners
  • Work and operate in a highly sophisticated environment
  • Knowledge in RDMA, with focus on RoCE
  • Understanding of various network topologies and their attributes
  • Experience with load balancing and congestion control algorithms
  • Practice of industry standards and/or experience with standards organizations or open source 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

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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.”

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