Principal Software Engineer, AI Networking

Nvidia

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Quick summary

Work type: On-site
Location: Santa Clara, CA
Employment: Full-time
Posted: 113 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Similar $205k

$127k $291k

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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 · Principal Software Engineer, AI Networking

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As a Principal Software Engineer, AI Networking, you will join the team responsible for transforming AI networking systems and leading technical strategy for AI Factory networking deployments. You will serve as a principal-level technical authority for embedded networking products like BlueField and ConnectX, managing complex customer engagements with hyperscalers. Your daily responsibilities include conducting architecture reviews, risk assessments, and crafting multi-phase execution plans while performing coding, bring-up, performance tuning, and failure analysis. You will utilize deep knowledge of networking protocols, distributed systems, RoCE, InfiniBand, and L1–L4 fundamentals. Required technical skills include proficiency in C/C++ for low-level software, debugging across firmware and drivers, and experience with DPDK, DOCA, RDMA verbs, NCCL, and CUDA-aware networking to solve high-performance networking and congestion control problems.

What does a Software Engineer earn in California?

Median $214500 from 1193 postings across 76 companies.

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Skills

C/C++ RDMA RoCE InfiniBand DPDK DOCA NCCL CUDA Networking Protocols Distributed Systems Firmware Performance Tuning Congestion Control QoS Telemetry Automation

What you'll do

Lead technical strategy for AI Factory networking deployments, including architecture reviews and risk assessments.
Serve as the principal technical authority for BlueField and ConnectX embedded networking products.
Conduct deep technical engagements with hyperscalers involving design-in, coding, bring-up, and performance tuning.
Translate customer needs into product features, reference architectures, tooling, and technical guidelines.
Drive performance, reliability, and debuggability improvements across customer stacks and software roadmaps.
Manage complex customer engagements to influence product and architecture direction.
Debug low-level software issues across firmware, drivers, and user space using C/C++.

What we're looking for

BS/MS/PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
15+ years of relevant industry experience, including technical leadership across complex systems.
Deep knowledge of networking protocols, distributed systems, RoCE/InfiniBand, L1–L4 fundamentals, and performance/latency tradeoffs.
Proficiency in C/C++ with low-level software expertise for debugging across firmware, driver, and user space.
Demonstrated experience in high-performance networking and system-level debugging, including packet drops, retransmissions, congestion, QoS, ordering, and buffer management.
Excellent interpersonal skills to explain complex topics and align cross-organizational teams.
Prior experience in customer-facing technical leadership at hyperscalers, CSPs, or AI factories (preferred).
Hands-on expertise with DPDK, DOCA, RDMA verbs, NCCL, CUDA-aware networking, and performance tuning at scale (preferred).