Nvidia Solution Architect Networking – NCP Infra 

Taiwan, Taipei 

212498004

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.