Senior AI Networking System Architect

Responsibilities

• Define the NVL system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments).
• Research of various solutions to enable the next large-scale-high-performance computing clusters. The position spans over various layers from algorithms, software, firmware, and HW.
• Developing models for simulations and performance testing, analysing the results and development of future HW and SW.
• Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project.
• What we need to see
• B.Sc, M.Sc, or Ph. D degree in Computer Science, Computer Engineer, or Electrical Engineer.
• At least 5 years of industry or research experience in computer networks.
• Excellent understanding of large-scale networks behaviour and the effect of distributed computing workloads effect on the network.
• Experience in development of simulation environments.
• Possess strong managerial, problem solving and critical thinking skills.

Languages