Senior System Software Architect, AI and GPU Networking

Responsibilities

• Enhance NVIDIA's GPU Networking offerings for accelerating AI workloads, such as NVIDIA Dynamo, NVIDIA NIXL and NVIDIA UCX, tailored to the unique requirements of AI workloads.
• Co-design hardware features (e.g., in GPUs, DPUs, or interconnects) that accelerate data movement and enable new capabilities for inference and model serving.
• Identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value.
• Lead architecture and design of new technologies and innovations such as runtime systems, communication libraries, AI-specific technologies.
• Lead proof-of-concept development to evaluate and drive such technologies.
• What we need to see
• Hold a M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience).
• 5+ years of industry experience (or equivalent) in system architecture, AI systems architecture, scaling of AI, Parallelism of AI frameworks, or deep learning training workloads.
• Experienced in algorithm design, system programming, computer architecture and operating systems.
• Experienced in virtualization, networking and storage.

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