Principal Software Engineer, AI Networking

Nvidia

Remote

Quick summary

Work type
Remote
Location
Santa Clara, CA
Salary
$272,000–$431,250 / yr
Posted
93 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $215k
This role $352k
$141k most similar roles pay here $462k

This role pays more than 99% of similar roles. Most pay $184,712–$246,150 — the shaded band above. At the midpoint, this role pays about $352k versus about $215k 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 563 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Principal Software Engineer, AI Networking

As a Principal Software Engineer on NVIDIA’s networking team, you will lead the technical strategy for AI Factory deployments, conducting architecture reviews and crafting execution plans for strategic customers. You will serve as the principal authority for embedded networking products like BlueField and ConnectX, working closely with internal teams to translate customer needs into product features and reference architectures. Your day-to-day involves deep technical engagements with hyperscalers, performance tuning, failure analysis, and production hardening, requiring expertise in C/C++, RoCE/InfiniBand, and distributed systems. Ideal candidates have 15+ years of industry experience, a strong background in high-performance networking, and hands-on knowledge of DPDK, DOCA, RDMA verbs, and CUDA-aware networking. Experience with AI-powered tools to enhance engineering efficiency is also valued.

What you'll do

  • Lead technical strategy for AI Factory networking deployments, including architecture reviews and risk assessments.
  • Serve as principal-level authority for embedded networking products like BlueField and ConnectX, covering ecosystem technologies.
  • Conduct deep technical engagements with hyperscalers and AI Factory customers, involving design-in to production hardening.
  • Transform customer needs into product features, reference architectures, tooling, and guidelines in collaboration with internal teams.
  • Drive improvements in performance, reliability, and debuggability across customer stacks and translate findings into roadmap items.

What we're looking for

  • Extensive experience (15+ years) leading technical strategy in complex systems.
  • Deep expertise in networking protocols, distributed systems, and high-performance computing.
  • Proficiency in C/C++ with strong debugging skills across firmware, driver, and user space.
  • Hands-on experience with DPDK, DOCA, RDMA verbs, NCCL, CUDA-aware networking.
  • Proven ability to lead multi-team initiatives and influence cross-functional teams.

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