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Senior High-Performance System Architect

NVIDIA is the world leader in accelerated computing, pioneering solutions for AI and digital twins that transform industries.
Staff Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Job Description

NVIDIA is seeking a Senior High-Performance System Architect to shape the future of high-performance and ML/AI computing. This role is crucial in developing next-generation NVL systems that will power advanced compute clusters for training cutting-edge AI models like GPT and DeepSeek. The position offers an opportunity to work with state-of-the-art technology in accelerated computing platforms used by scientists, researchers, and engineers worldwide.

The ideal candidate will be responsible for architecting end-to-end NVL systems, researching solutions for large-scale computing clusters, and working across multiple technical layers from algorithms to hardware. They will collaborate with various teams including architecture, logic design, system software, firmware, and research groups.

This role requires deep expertise in computer networks, large-scale systems, and distributed computing workloads. The position demands both technical excellence and leadership skills, as you'll be working with multiple groups and driving innovation in high-performance computing infrastructure.

NVIDIA's commitment to groundbreaking technology and its position as a leader in accelerated computing makes this an exceptional opportunity for someone passionate about pushing the boundaries of what's possible in computing. The role offers exposure to cutting-edge AI and ML infrastructure, working with some of the industry's most advanced technology.

Last updated 5 days ago

Responsibilities For Senior High-Performance System Architect

  • Define the NVL system architecture end-to-end
  • Research solutions for large-scale-high-performance computing clusters
  • Collaborate with cross-functional teams
  • Work across various layers from algorithms, software, firmware, and HW

Requirements For Senior High-Performance System Architect

Python
  • 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 behavior
  • Experience in developing models for simulations
  • Strong managerial, problem solving and critical thinking skills
  • Ability to work in a highly dynamic environment

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