Nvidia Solutions Architect AI Infrastructure 

United States, Texas 

661799804

Working with NVIDIA Consumer Internet and IT Services customers on data center GPU server and networking infrastructure deployments as solution architect. Guide customer discussions on network topologies, compute/storage and support bring up ofserver/network/clusterdeployments. You will need to visit customer data center during bring up phase.

Identifying new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications. Work closely with the Systems/Network Engineering, Product management and Sales teams

Work as customer trusted advisor conducting regular technical customer meetings for product roadmap, cluster debug, feature discussions and introduction to new technology solutions

Building custom product demonstrations and POCs for solutions that address critical business needs of our customers

Analyzing and debugging compute/network performance issues

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

This role is for an individual with the motivation and skills to drive the data center engineering process. Ideal candidate has 5+ years of Solution Engineering (or similar Engineering roles) experience

System level understanding of server architecture, NICs, Linux, system software and kernel drivers

Practical knowledge of Networking - switching & routing for Ethernet/Infiniband, and Data Center infrastructure (power/cooling)

Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes

Effective time management and capable of balancing multiple tasks

Ability to communicate your ideas/code clearly through documents, presentation etc

External customer facing skill-set and background

Experience with bringup and deployment of large clusters

Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel and drivers

Hands-on experience with NVIDIA systems/SDKs (e.g. CUDA), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand), and/or ARM CPU solutions

Familiarity with virtualization technology concepts