Networking Architect

NVIDIA•Santa Clara, CA

1d•$124,000 - $195,500•Onsite

About The Position

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. 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!

Requirements

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

Nice To Haves

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++

Responsibilities

Research and development of networking solutions to enable the next generation of accelerated data centers.
Spanning various layers from ASIC design to algorithms, topologies and systems, and more.
Partnering with internal teams, strategic partners, standard bodies and networking communities to initiate and develop groundbreaking networking solutions for AI.