Senior Software Engineer, AI Networking

at Nvidia

USD 184,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 CUDA @ 4 Debugging @ 6 Distributed Systems @ 7 InfiniBand @ 7 Leadership @ 7 NCCL @ 4 Networking @ 4 Technical Leadership @ 7

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. We are seeking an outstanding Software Engineer to join our US-based networking software team and lead the transformation of AI networking systems for BlueField DPU and ConnectX product lines.

Responsibilities

Establish yourself as a technical specialist in AI networking products (BlueField DPU and ConnectX). Architect, design, and develop innovative, scalable, and high-performance hardware-accelerated software solutions.
Lead deep technical engagements with hyperscalers, including design-in, coding, bring-up, performance tuning, failure analysis, and production hardening.
Partner with internal engineering, product, and architecture teams to transform customer needs into product features, reference architectures, tooling, and guidelines.
Drive performance, reliability, and debuggability improvements across customer stacks and translate findings into actionable product, firmware, and software roadmap items.

Requirements

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; strong understanding of 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 layers.
Demonstrated experience in high-performance networking and system-level debugging, including packet drops, retransmissions, congestion, QoS, ordering, and buffer management.
Excellent interpersonal skills with the ability to clearly explain complex topics to engineers, PMs, and customer collaborators and align cross-organizational teams.
Result driven and comfortable multitasking in a dynamic environment with shifting priorities and changing requirements.

Ways to stand out

Prior experience in customer-facing technical leadership at hyperscalers/CSPs.
Hands-on expertise with RDMA verbs, DPDK, DOCA, NCCL, CUDA-aware networking, congestion control, and performance tuning at scale.
Experience building internal tools, telemetry, and automation to improve triage speed and operational excellence.
Experience leading multi-team initiatives across geographies/time zones and applying AI-powered tools to accelerate debugging and documentation while maintaining engineering judgment.

Compensation

Base salary ranges (location and level dependent):
- Level 4: 184,000 USD - 287,500 USD
- Level 5: 224,000 USD - 356,500 USD
You will also be eligible for equity and benefits.

Additional information

Applications for this job will be accepted at least until July 12, 2026.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment.