Senior Software Architect, AI Networking

at Nvidia

📍 Santa Clara, United States

USD 184,000-356,500 per year

SENIOR

✅ On-site

Used Tools & Technologies

Not specified

Required Skills & Competences
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.

Software Development @ 1 Distributed Systems @ 4 Machine Learning @ 7 Communication @ 4 Networking @ 4 Rust @ 1 GPU @ 4

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. As a Senior Software Architect for AI Networking you will help define the future of AI inference infrastructure — driving performance and scalability in distributed AI systems and optimizing how large language models and generative AI workloads move and process data at scale.

Responsibilities

Research, design, and implement advanced AI networking technologies with an emphasis on accelerating inference workloads using NVIDIA Inference Xfer Library (NIXL) — a high-throughput, low-latency communication library for asynchronous, efficient data transfers across GPUs, CPUs, and storage targets.
Collaborate across NVIDIA hardware, software, and research teams to co-design hardware-accelerated and software solutions for AI inference.
Own the creation of prototypes and solutions for next-generation AI inference systems.
Drive architectural decisions underpinning the deployment and scaling of AI inference using NVIDIA technologies.

Requirements

Master’s or Ph.D. in Computer Science, Electrical or Computer Engineering or equivalent experience.
At least 8 years of relevant academic or confirmed industry experience.
Comprehensive understanding of AI workloads (primarily inference, but also training) and their impact on network infrastructure.
Strong proficiency in Machine Learning / Deep Learning fundamentals, inference runtimes, and deep learning frameworks.
Proficiency in C or C++ for systems software development; familiarity with Rust is an advantage.
Experience with distributed systems, GPU/CPU data movement, performance and scalability engineering, and prototyping next-generation systems.

Compensation & Benefits

Base salary range (varies by level and location):
- Level 4: 184,000 USD - 287,500 USD
- Level 5: 224,000 USD - 356,500 USD
Eligible for equity and company benefits (link provided in original posting).

Application & Equal Opportunity

Applications for this job will be accepted at least until November 28, 2025.
NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. The company does not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or other characteristics protected by law.