Principal Software Architect, Networking AI

Nvidia

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $272,000–$431,250 / yr
Employment: Full-time
Posted: 69 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 $217k

This role $352k

$124k $464k

below market most similar roles pay here above market

This role pays more than 98% of similar roles. Most pay $184,325–$249,525 — the blue band above. At the midpoint, this role pays about $352k versus about $217k 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 1463 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1096 roles with salary data.

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At a glance

TL;DR · Principal Software Architect, Networking AI

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The Principal Software Architect, Networking will join the team to build the future of AI data-centers. This role focuses on leading the development of next-generation Scale-up fabric for AI data-centers, specifically concentrating on collaborative communication and the vertical co-development of AI networks alongside hardware, software, and applications. The architect will guarantee scalability, reliability, and robust training for large model development while creating innovative concepts for full-scale manufacturing. Key responsibilities include collaborating with cross-functional teams to implement new technologies and solving problems related to large model training scalability. Required expertise includes over 15 years of experience in software architecture and networking, a Bachelor’s degree in Engineering, and strong expertise in AI applied research, resiliency, and tail-robust training methods within large-scale AI data-center operations.

Skills

Software Architecture Networking AI Large Model Training Scale-up Fabric Data-center Operations Collaborative Communication

What you'll do

Lead the development of next-generation Scale-up fabric for AI data-centers.
Manage collaborative communication and vertical co-development of AI networks with hardware and software.
Ensure scalability, reliability, and robust training for large-scale model development.
Create innovative concepts for transition into full-scale manufacturing.
Implement new technologies in partnership with cross-functional teams.
Drive innovation for large-scale production environments.

What we're looking for

Experience in software architecture and networking.
Bachelor’s degree in Engineering or equivalent experience.
Strong expertise in AI applied research.
Demonstrated ability to lead complex projects and deliver flawless results.
Excellent collaboration skills and the ability to work with diverse teams.
Advanced degree or equivalent experience in Engineering or a related area (preferred).
Experience with large-scale AI data-center operations (preferred).
Outstanding abilities in resiliency and tail-robust training methods (preferred).

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