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What you will be doing:
Working with NVIDIA Consumer Internet and IT Services customers on data center GPU server and networking infrastructure projects as solution architect. Guide customer journey toserver/network/clusterdeployments and lead discussions about network topologies, compute/storage etc
Identifying new business/project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications. Work closely with the Engineering, Product management and Sales teams
Conducting regular technical customer meetings for project/product roadmap, 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 solving compute/network performance issues
Preparing and delivering technical training presentations and workshops
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 technical pre-sales process.
5+ years of Solution Engineering (or similar Sales Engineering roles) experience
Advance practical knowledge of Networking - Data Center topologies, routing and switching protocols, and Ethernet/Infiniband
System level understanding of server architecture, PCIe devices, NICs, Linux OS and kernel drivers
Networking experience, including knowledge of Ethernet, Infiniband or other networking protocols
Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data centercompute/network/storagedeployments
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
Systems engineering, coding, and debugging skills including experience 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 of concepts for virtualization environments
Able to think creatively to debug and solve problems
You will also be eligible for equity and .
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