Senior Software Architect, AI Networking

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.

Join NVIDIA as a Senior Software Architect for AI Networking and help define the future of AI inference infrastructure. In this groundbreaking role, you will drive performance and scalability in distributed AI systems. You will focus on optimizing and innovating 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 various storage targets.
• Collaborate with other teams across NVIDIA's hardware, software, and research units 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’s innovative technology.

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 experience in the field.
• Comprehensive understanding of AI workloads (primarily inference, but also training) and their impact on network infrastructure.
• Strong proficiency in areas such as 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-centric architectures, performance and scalability optimization, and storage/network interaction for AI workloads.

Benefits

• Competitive base salary (range provided below), eligibility for equity, and a generous benefits package. Link to benefits: https://www.nvidia.com/en-us/benefits/
• Base salary range: 184,000 USD - 287,500 USD (determined based on location, experience, and pay of employees in similar positions).
• Applications for this job will be accepted at least until November 29, 2025.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate (including in hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.