Senior AI Networking System Architect

NVIDIA is seeking a highly motivated High-Performance System Architect to join their team of experts and help shape the future of high-performance and ML/AI computing.

As a High-Performance System Architect at NVIDIA, you will have the opportunity to work on some of the most cutting-edge technology and help drive the innovation of their next-generation networks that will be used by top researchers and engineers around the world.

Responsibilities:

• Define the NVL system architecture end-to-end, by internal requirements and customer requirements through all product life cycles.
• Research various solutions to enable the next large-scale high-performance computing clusters.
• Develop models for simulations and performance testing, analyze the results, and develop future hardware and software.
• Collaborate with cross-functional teams to ensure the successful execution of the project.

Requirements:

• B.Sc, M.Sc, or Ph.D. degree in Computer Science, Computer Engineering, or Electrical Engineering.
• At least 5 years of industry or research experience in computer networks.
• Excellent understanding of large-scale networks behavior and the effect of distributed computing workloads on the network.
• Experience in development of simulation environments.
• Strong managerial, problem-solving, and critical thinking skills.
• Ability to work and operate in a highly dynamic environment.

Preferred Qualifications:

• Strong understanding of network protocols such as InfiniBand, IP, TCP, and RoCE, and network topologies.
• Good knowledge of Python, C++.
• Good knowledge of AI models.
• Familiarity with HPC environments, routing algorithms, Omnet++, and NS3 simulation environments.