NVIDIA is seeking a passionate and innovative Senior Software Engineer with expertise in enterprise and data center networking to join our Cumulus Linux team. Cumulus Linux is a leading open-networking operating system and a cornerstone of the AI Factory — the next-generation data center designed to power the training, fine-tuning, and deployment of AI models at scale. As part of the team, you will design and implement core features of Cumulus Linux that enable the world’s most advanced data centers. You will work closely with cross-functional architecture and design teams, shaping the future of NVIDIA’s networking technologies while gaining hands-on experience across our hardware and software ecosystem — from advanced networking ASICs to large-scale distributed systems.
What you'll be doing:
Design, develop, integrate, and test data forwarding and routing features in NVIDIA Cumulus Linux.
Enable NVIDIA Cumulus Linux on next-generation ASICs.
Work collaboratively with team members, product managers, architects, QA, and other engineering teams to deliver high-quality solutions.
Innovate and rapidly develop proof-of-concept (POC) prototypes that can evolve into fully developed products or solutions.
Engage closely with customers to understand their challenges, use cases, and deployment strategies, and devise innovative solutions.
What we need to see:
BS or MS degree in Computer Engineering, Computer Science, or a related field.
Over 5 years of experience as a Software Engineer.
Excellent C programming skills on Linux.
Familiarity with forwarding and routing networking concepts.
Strong analytical skills and a deep understanding of data structures and algorithms.
Excellent communication skills.
Ways to stand out from the crowd:
Deep understanding of forwarding and routing architectures and protocols.
Strong expertise in Linux systems, with a focus on kernel-level networking.
Hands-on experience with merchant silicon platforms for high-performance switching and routing.
#LI-Hybrid
Top Skills
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.”
