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.
• Design and prototype features and optimizations that accelerate data movement and enable new capabilities for inference and model serving - focusing on throughput, latency, and memory efficiency..
• Identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value.
• Develop and evaluate innovative features with respect to runtime systems, communication libraries, AI-specific technologies.
• Develop and evaluate enhancements to communication libraries such as NIXL, UCX, and GPUnetIO, tailored to the unique demands of AI workloads.
• 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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