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Nvidia Solution Architect Networking – NCP Infra 
Taiwan, Taipei 
212498004

24.06.2024

What you’ll be doing:

  • Partner with sales to develop and demonstrate networking end-to-end solutions with NVIDIA accelerated computing platforms for end customers.

  • Discuss and communicate with customers to plan the networking infrastructure for large scale AI and HPC.

  • Work with customer to build POCs to address customer critical business needs by adopting NVIDIA networking infrastructure for AI, HPC and Cloud data center.

  • Conduct regular technical customer meetings for project details, new products and technology’s introduction, and debugging sessions.

  • Analyze performance metrics to identify networking performance issue and develop the solution for customers.

What we need to see:

  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, or other Engineering fields or equivalent experience.

  • 4+ years of experience.

  • Work proactive and independent to learn and introduce new technologies for customers and enhance customers satisfaction.

  • Strong analytical ability and problem-solving skills.

  • Advanced knowledge and experience on data center topology design, protocol selection and configuration, and end-to-end compute and network performance validation on InfiniBand and Ethernet network.

  • Strong skill on Ethernet switching and routing protocols.

  • Understand Linux-based OS, system administration, host network routing, OS boot procedures, and system-level troubleshooting.

  • Ability to use network benchmark tools to measure network performance and do the tuning for network performance optimization.

  • Experience on container orchestration tools, like Kubernetes.

  • Familiar network virtualization, storage virtualization, and server virtualization technologies, like Linux KVM, VMware ESXi, etc.

Ways to stand out from crowd:

  • Knowledge of RDMA and RoCE.

  • DPDK developing experience.

  • DPU and DOCA experience.

  • Knowledge of network security.

  • Experience with MPI and AI framework as well as experience with GPU product.