Network Software Architect

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $224,000–$356,500 / yr
Posted: 65 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $193k

This role $290k

$111k most similar roles pay here $383k

This role pays more than 94% of similar roles. Most pay $150,981–$235,750 — the shaded band above. At the midpoint, this role pays about $290k versus about $193k 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Network Software Architect

Role Posting Log in to save

As a Network Software Architect within the Networking software architecture team, you will develop next-generation networking protocols specifically for AI applications. You will research and propose novel transport mechanisms based on RDMA technology using simulations, experiments, and proof-of-concept prototypes to improve communication between GPUs. Your daily responsibilities include architecting frameworks for programmable networking devices, providing system-level architecture to guide customers in deploying new protocols, and collaborating across the organization to co-design stacks that exploit new transport mechanisms. The role requires expertise in RDMA, RoCEv2, Multipath Reliable Connection, and NVIDIA Spectrum-X. You must possess an advanced degree or equivalent experience, with over twelve years of experience including C/C++ programming, Linux systems, and research in transport protocol innovations. This position focuses on the technical challenge of building high-performance infrastructure for distributed AI training and inference.

Skills

RDMA RoCEv2 C++ C Linux Networking Protocols Distributed AI Training Network Architecture Operating Systems Multipath Reliable Connection (MRC) NVIDIA Spectrum-X Parallelization Techniques

What you'll do

Research and propose novel RDMA-based transport mechanisms for AI systems using simulations and prototypes.
Architect frameworks for programmable networking devices to support new protocols.
Provide system-level architecture guidance to help customers deploy and operate new protocols.
Co-design the network stack with internal teams to exploit new transport mechanisms.
Develop next-generation networking protocols specifically designed for distributed AI training and inference.
Build underlying infrastructure for RoCEv2, Multipath Reliable Connection (MRC), and NVIDIA Spectrum-X.

What we're looking for

M.S./Ph.D. degree in Computer Science, Computer Engineering, 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 technology.
Proven fundamentals of compute, network architecture, and operating systems.
Strong experience with Linux.
Ability to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Save