Principal System Software Engineer - Cloud Networking

Reposted Yesterday
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Hiring Remotely in Santa Clara, CA
In-Office or Remote
272K-431K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and optimize scalable multi-tenant network architecture for AI infrastructures. Develop monitoring software, manage network health and performance for NVIDIA's AI Factory software stack.
Summary Generated by Built In

For more than 25 years, NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing. Its unique legacy of innovation is motivated by great technology and amazing people. NVIDIA's invention of the GPU redefined modern 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, we are increasingly known as “the AI computing company”. We are looking to continue to grow with the smartest people in the world. We are looking for you.

We are seeking a Principal System Software Engineer, Cloud Networking and Performance, to develop massively scalable and performant Software-Defined Networking for the NVIDIA AI Factory software stack.

What you’ll be doing:

  • Design and optimize next generation horizontally scalable, highly performant multi-tenant network architecture with security in mind to support data center and AI Factory infrastructure at massive scale.

  • Implement the above SDN software as a part of a bigger NVIDIA software stack for AI Factory, working closely with NVIDIA compute, storage and other teams.

  • Design and develop OSS software for monitoring the overall network health, performance, and scalability. The intelligence needs to be built into the system for tracking and regulating usage by various tenants, analyzing it, and taking appropriate actions.

What we need to see:

  • BA/BS degree in Computer Science or, related technical field (or equivalent experience).

  • 15+ years of validated experience in networking disciplines.

  • Strong background in K8s and Networking performance.

  • Deep understanding of various networking protocols with hands-on development experience.

  • Experience in crafting network architecture for cloud/distributed systems.

  • Hands-on experience with large-scale network setups and device (switches/routers, etc.) configurations, along with network management systems, network monitoring systems, or network operations.

  • Strong understanding of OVS, OVN, OVN-K8s CNCF upstream project.

  • Hands-on experience with software for SR-IOV.

With a competitive salary package and benefits, 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. Are you a creative and autonomous Principal-level Software Engineer who loves challenges? Do you have a genuine passion for advancing the state of Data Science across a variety of industries? If so, 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 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 18, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

Top Skills

K8S
Ovn
Ovn-K8S
Ovs
Software-Defined Networking
Sr-Iov
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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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