AI Networking Lead: High-Performance Systems & DPU Tech

NVIDIA Corporation

Seattle (WA)

On-site

USD 184,000 - 288,000

Full time

14 days+

Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

Benefits offered by this job

Equity

Benefits

Inclusive environment

Job summary

NVIDIA Corporation in Seattle is seeking an outstanding Software Engineer to join our US-based networking software team. As a technical leader, you will guide the transformation of AI networking systems, architect and develop high-performance, hardware-accelerated software, and influence product direction across teams.

You will engage with hyperscalers, translate customer needs into features, and drive performance and reliability improvements.

Qualifications

A Bachelor’s, Master’s or PhD in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering or a related science degree (or equivalent experience) 8+ years of relevant industry experience, including technical leadership across complex systems.
Deep knowledge of networking protocols and distributed systems, with RoCE/InfiniBand, L1–L4 fundamentals, and performance/latency tradeoffs.
Proven low-level software expertise with proficiency in C/C++ and comfort debugging across firmware, driver, OS, and application.

Responsibilities

Establish yourself as a technical specialist in AI networking products, specifically RoCE/InfiniBand and DPU/ConnectX lines.
Architect, design, and develop scalable, high-performance hardware-accelerated software solutions.
Lead deep technical engagements with hyperscalers, involving design-in, coding, bring-up, performance tuning, failure analysis, and production hardening.
Partner with internal engineering, product, and architecture teams to translate customer needs into product features and guidelines.
Drive performance, reliability, and debuggability improvements across customer stacks.