Network Software Architect

Nvidia

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $224,000–$356,500 / yr
Employment: Full-time
Posted: 111 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $189k

This role $290k

$116k $382k

below market most similar roles pay here above market

This role pays more than 96% of similar roles. Most pay $149,825–$227,300 — the blue band above. At the midpoint, this role pays about $290k versus about $189k 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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Network Software Architect

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The Network Software Architect joins the networking architecture team to develop next-generation networking protocols specifically for AI. This role involves researching and proposing novel transport mechanisms based on RDMA technology for AI systems using simulations, experiments, and proof-of-concept prototypes. You will architect frameworks for programmable networking devices, provide system-level architecture to guide customers, and collaborate across the company to co-design the stack. Key responsibilities include developing underlying infrastructure for protocols such as RoCEv2, Multipath Reliable Connection, and NVIDIA Spectrum-X. Candidates must possess deep RDMA knowledge, C/C++ programming skills, and experience with Linux and operating systems. The work focuses on solving communication bottlenecks between GPUs to improve performance for distributed AI training and inference within large-scale systems.

Skills

RDMA RoCEv2 C++ C Networking Protocols Linux Operating Systems Distributed AI Training Network Architecture Parallelization Techniques Simulations Proof-of-Concept Prototypes

What you'll do

Research and propose novel transport mechanisms based on RDMA technology for AI systems.
Develop proof-of-concept prototypes and conduct experiments to validate new transport mechanisms.
Architect frameworks for NVIDIA’s programmable networking devices to support novel protocols.
Provide system-level architecture to guide customers in deploying and operating new protocols.
Co-design the networking stack across internal teams to exploit new transport mechanisms.
Develop next-generation networking protocols for distributed AI training and inference.

What we're looking for

M.S./Ph.D. degree in CS/CE or equivalent experience.
12+ years of relevant experience.
Excellent C/C++ programming and debugging skills.
Research experience driving transport protocol innovations.
Deep understanding of RDMA.
Proven fundamentals of compute, network architecture, and operating systems.
Strong experience with Linux.
Experience with AI communication patterns and parallelization techniques (preferred).

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