Senior Software Architect, AI Systems and Networking

NVIDIA; California (MO); On-site; USD 184,000 - 287,500; Full time

Job summary

A leading AI computing company is seeking a Senior Software Architect for AI Networking to define the future of AI inference infrastructure. The role involves researching and designing advanced AI networking technologies and collaborating with cross-functional teams. Candidates should possess a Master's or Ph.D. and have at least eight years of relevant experience. Strong proficiency in AI workloads, C/C++, and understanding of inference systems is required. Competitive salaries and benefits are offered, with a base salary range of USD 184,000–287,500 for Level 4.

Qualifications

• At least eight years of relevant academic or confirmed industry experience.
• Comprehensive understanding of AI workloads and their impact on network infrastructure.
• Strong proficiency in inference runtimes and Deep Learning frameworks.

Responsibilities

• Research, design, and implement advanced AI networking technologies.
• Collaborate with teams to co-design hardware-accelerated and software solutions.
• Create prototypes and solutions for next-gen AI inference systems.
• Drive architectural decisions for AI inference deployment and scaling.

Skills

Machine Learning fundamentals

Deep Learning fundamentals

C/C++ proficiency

Understanding of AI workloads

Rust familiarity

Education

Master’s or Ph.D. in Computer Science, Electrical or Computer Engineering

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years and is now leading the next era of AI computing. Our GPUs serve as the brains of computers, robots, and self‑driving cars, enabling unprecedented performance for AI inference workloads.

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, optimizing how large language models and generative AI workloads move and process data at scale.

What You'll Be Doing

• Research, design, and implement advanced AI networking technologies, emphasizing acceleration of 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 NVIDIA’s 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’s innovative technology.

What We Need To See

• Master’s or Ph.D. in Computer Science, Electrical or Computer Engineering or equivalent experience.
• At least eight 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.

Benefits

Competitive salaries and a generous benefits package are offered. Base salary ranges are USD 184,000 – 287,500 for Level 4 and USD 224,000 – 356,500 for Level 5. Equities and additional benefits are also available.

Equal Opportunity Statement

NVIDIA is committed to fostering a diverse work environment and takes great pride in being an equal opportunity employer. We do not discriminate 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.