Senior Software Architect Networking

Reposted 5 Days Ago
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6 Locations
In-Office
184K-357K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop networking protocols for AI, perform simulations, design techniques, and explore hardware/software solutions as part of the NVIDIA architecture team.
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 growing our networking architecture team with people passionate about accelerated computing. We are looking for you - a Networking Software Architect, to develop the next generation of networking protocols for AI.

We are developing RDMA Transport protocols within the Networking software architecture team at NVIDIA. We build the underlying infrastructure under protocols such as RoCEv2 and NVIDIA Spectrum-X that is important for scaling AI. We're seeking a highly motivated, creative professional with networking simulation expertise along with experience in RDMA protocols to join the team. Efficient and fast communication between GPUs directly impacts end-to-end AI application performance. This impact continues to grow with the increasing scale of next generation systems. This is an outstanding opportunity to advance the state-of-the-art, break performance barriers, and deliver platforms the world has never seen before. Are you ready to build the new and innovative technologies that will help realize NVIDIA's vision?

What you will be doing:

  • Perform networking simulations of communication patterns prevalent in AI applications, such as using NCCL.

  • Design and implement new techniques and protocols to accelerate the communication performance.

  • Explore innovative solutions in HW and SW for our next generation platforms as part of programmable RoCE architecture.

  • Build proofs-of-concept, conduct experiments, and perform quantitative modeling to evaluate and drive new innovations.

  • Use simulation to explore performance of AI applications on large GPU clusters.

What we need to see:

  • M.S./Ph.D. degree in CS/CE or equivalent experience.

  • 5+ years of relevant experience.

  • Excellent C/C++ programming and debugging skills.

  • Experience with network simulations.

  • Deep understanding of RDMA.

  • Proven fundamentals of compute, network architecture and operating systems.

  • Strong experience with Linux.

  • Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Ways to stand out from the crowd:

  • Expertise in related technology and passion for what you do. Experience with NCCL Collectives along with AI communication patterns and parallelization techniques.

  • Strong collaborative and interpersonal skills and a proven track record of effectively guiding and influencing within a dynamic and multi-functional environment.

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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 25, 2025.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

C,C++,Nccl,Linux
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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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