Ai Workload And Networking Research Architect

NVIDIA

M.sc. or ph.d. in computer science
3+ years industry research experience
Strong machine learning deep learning background
This role bridges the gap between cutting-edge AI workloads and the data center infrastructure that powers them

Job Summary

  • This role bridges the gap between cutting-edge AI workloads and the data center infrastructure that powers them.
  • You will model complex AI workload performance to identify bottlenecks and recommend system-level optimizations.
  • Your insights will directly shape NVIDIA products across the full stack from applications to hardware architecture.

Matching Summary

This role bridges the gap between cutting-edge AI workloads and the data center infrastructure that powers them.

Skills & Requirements

Must-have

  • M.Sc. or Ph.D. in Computer Science
  • 3+ years industry research experience
  • Strong machine learning deep learning background
  • Advanced Python programming skills
  • Systems-level thinking for AI stack

Nice-to-have

  • Deep understanding of data center infrastructure
  • Experience with distributed training inference systems
  • Track record leading multidisciplinary research projects
  • Familiarity with GPU clusters collective communication
  • Ability to translate academic research into architecture

Key Requirements

  • M.Sc. or Ph.D. degree required
  • 3+ years relevant industry or research experience
  • Hands-on experience with LLMs generative AI
  • Advanced Python proficiency for modeling

Work Rights

Not specified

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