Research Scientist, Networking Research

Nvidia

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$168,000–$264,500 / yr
Posted
3 days ago
Freshness
Confirmed live today

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $201k
This role $216k
$139k most similar roles pay here $278k

This role pays more than 55% of similar roles. Most pay $152,875–$248,375 — the shaded band above. At the midpoint, this role pays about $216k versus about $201k for comparable roles.

Based on 240 similar postings.

Employer

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 923 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 905 roles with salary data.

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At a glance

TL;DR · Research Scientist, Networking Research

Research Scientist, Networking Research - PhD New College Grad 2026 joins the Research team to design networks optimized for AI systems and develop innovative architectures for high-performance interconnects and large-scale distributed AI systems. The role involves creating mechanisms for network decision-making in GPU clusters, including AI/ML-based approaches for routing, traffic engineering, congestion control, scheduling, topology design, and telemetry-driven control loops. Candidates will prototype ideas through simulation or analytical modeling to produce patents, publications, and long-term technology visions. Required expertise includes computer architecture, communication systems for distributed computation, and applying machine learning—specifically reinforcement learning, graph learning, and optimization—to networking problems. Preferred technical skills include C++, Python, and hardware description languages or HLS. The work focuses on solving performance, scalability, and efficiency challenges within the domain of next-generation computing platforms and AI infrastructure.

What does a Research Scientist earn?

Median $219950 from 43 postings across 12 companies.

See salary data

What you'll do

  • Develop innovative network architectures and hardware/software co-design approaches for high-performance interconnects and distributed AI systems.
  • Create and evaluate AI/ML-based mechanisms for routing, traffic engineering, congestion control, and scheduling in GPU clusters.
  • Design telemetry-driven control loops and topology designs to improve the performance of large-scale computing platforms.
  • Prototype new ideas through analytical modeling or simulation to establish a technology vision for products 5-10 years out.
  • Produce tangible research outputs including prototypes, patents, and publications in top-tier systems and networking venues.
  • Collaborate with academic researchers to foster mutually beneficial work in the fields of computer architecture and communication systems.

What we're looking for

  • Pursuing or recently completed a PhD in CS, CE, EE, Physics, Math, or equivalent experience.
  • 2+ years of relevant industrial and academic experience (preferred).
  • Experience in systems and network design for AI or HPC infrastructure.
  • Experience applying AI/ML to systems or networking problems such as optimization, reinforcement learning, or graph learning.
  • A background and publication record in systems, networking, computer architecture, and/or ML for networking/systems.
  • Publications at venues such as ISCA, HPCA, MICRO, SIGCOMM, or NSDI (preferred).
  • Experience with AI/ML frameworks like PyTorch, TensorFlow, or JAX (preferred).
  • Strong programming and prototyping ability in C++ and Python (preferred); experience with hardware description languages or HLS is desirable.

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