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NVIDIA

Designs the chips and software that power AI

Senior High-Performance System Architect

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A 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 network behavior and the effects of distributed computing workloads on networks.
  • Experience developing simulation models, analyzing simulation results, and developing optimization algorithms.
  • Strong managerial, problem-solving, and critical-thinking skills.
  • Ability to work and operate in a highly dynamic environment.
  • Ability to partner with multiple groups in the organization.

Responsibilities

  • Define the NVL system architecture end-to-end, incorporating internal and customer requirements throughout product life cycles, including pre-silicon, post-silicon, and deployment.
  • Research solutions to enable the next generation of large-scale, high-performance computing clusters, spanning algorithms, software, firmware, and hardware.
  • Collaborate with architecture, logic design, system software, firmware, and research teams to ensure successful project execution.

Desired Qualifications

  • Good knowledge of network protocols such as InfiniBand, IP, TCP, and RoCE, and of network topologies.
  • Good knowledge of Python and C++.
  • Familiarity with high-performance computing environments, routing algorithms, and Omnet++ and NS3 simulation environments.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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