Nvidia Solutions Architect AI Infrastructure 

United States, Texas 

997389306

What you will be doing:

• 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

What we need to see:

• 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

Ways to stand out from the crowd:

• 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