- Location
- Beijing, Beijing,CN, CN · Shanghai, Shanghai,CN, CN
- Workplace
- Remote
- Type
- Full-time
- Department
- Engineering
- Closing date
- Today
- Source
- Eightfold
Description
They are hands on, producing both detailed technical work and high-level architectural designs. As an architect in the AI Networking Research team, you will explore technological challenges on accelerate networking and building AI data centers. Develop and research new transport functions and semantics for optimizing AI workloads, AI systems communication and accelerations and much more. You will also be part of architectural and development efforts across numerous technological fields, related to the modern AI data center, such as distributed AI and deep learning solutions, data analytics, High Performance Computing (HPC), Software Defined Networking (SDN), virtualization, storage, and more. Experienced in algorithm design, system programming, computer architecture and operating systems. Experienced in virtualization, networking and storage. 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.
