PhD Research Intern, Networking

Nvidia

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Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
6 days ago
Freshness
Confirmed live today

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Similar $172k
$89k most similar roles pay here $256k

This listing doesn't post a salary. Most similar roles pay $104,750–$239,671.

Based on 240 similar postings.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 892 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 870 roles with salary data.

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At a glance

TL;DR · PhD Research Intern, Networking

PhD Research Intern, Networking - 2027 will join the NVResearch team to develop future high-performance networking and computing systems. The role involves developing algorithms and designing hardware and software to extend the state of the art in computing and networking. Key responsibilities include inventing new techniques, methodologies, and devices to enable future products while producing prototypes, patents, and publications focused on long-horizon problems. Specific projects involve optimizing communication stacks for AI training and inference, designing network protocols and congestion control, co-designing AI systems across software and hardware, and architecting networks based on optical switching and silicon photonics. Candidates should possess expertise in networking architectures, topologies, routing, and system design. Required skills include Python, C++, parallel programming, and experience with high-performance computing simulations, as well as familiarity with AI model training communication patterns and using AI agents to accelerate research.

What you'll do

  • Develop algorithms and design hardware and software to advance the state of the art in computing and networking.
  • Invent new techniques, technologies, methodologies, and devices to enable future product types.
  • Produce tangible research deliverables including prototypes, patents, and publications for top-tier conferences.
  • Conduct long-horizon research to inform NVIDIA's technology direction five to ten years into the future.
  • Optimize communication stacks specifically for AI training and inference workloads.
  • Design network protocols and congestion control mechanisms for distributed systems.
  • Co-design AI systems across both software and hardware layers.
  • Develop circuits and microarchitecture for network controllers and switches.

What we're looking for

  • Pursuing a PhD degree in CS, CE, EE, Physics, Math, or an equivalent program.
  • Relevant industry or university research experience in hardware, software, or networking.
  • Background in networking architectures, topologies, routing, and system design.
  • Publications at top-tier conferences (ISCA, HPCA, NSDI, SIGCOMM, etc.) or research on track toward them.
  • Hands-on experience with simulation of networks and high-performance computing systems.
  • Familiarity with inference and training systems for AI models and associated communication patterns.
  • Excellent programming skills in a rapid prototyping environment such as Python, C++, and parallel programming.
  • Experience building or using AI agents to accelerate research, automate experiments, or analyze results.

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