About The Position

NVIDIA is seeking an experienced Solutions Architect to bridge the gap between the design and deployment of large-scale AI and HPC GPU infrastructure. This role involves supporting customers in building next-generation GPU infrastructure and driving end-to-end technology solution integration. You will also provide recommendations to business and engineering teams based on customer feedback regarding product strategy. The position is an opportunity to be part of a team that brings GenAI, AI, ML, and other hardware and software technologies to production in the field.

Requirements

  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields, or equivalent experience.
  • Motivation and skills to own and drive technical engagements with customers throughout the full customer lifecycle.
  • 7+ years of Solution Engineering (or similar Sales Engineering, Cloud Engineering) experience working directly with partners and customers.
  • Experience crafting and deploying large-scale cluster environments.
  • Practical expertise in data center design, development, and execution for AI and HPC.
  • Efficient time management and the ability to balance multiple tasks.
  • Ability to communicate ideas clearly through documents and presentations.

Nice To Haves

  • Practical familiarity with NVIDIA hardware (such as GPUs, ETH/IB networking components, storage, etc.) within extensive AI and HPC cluster settings.
  • Practical knowledge of NVIDIA systems technology such as NCCL, DCGM, UFM, Mission Control, Base Command Manager, etc.
  • Background with at-scale GPU systems in general, encompassing performance testing and AI benchmarking.
  • Practical involvement in cluster administration and coordination (SLURM, K8s, etc.).

Responsibilities

  • Collaborating with NVIDIA Cloud Partners to create, implement, and deploy NVIDIA's innovative hardware and software solutions.
  • Partnering with Sales Account Managers and other business leads to identify and secure business opportunities for NVIDIA products and solutions.
  • Acting as the primary technical support for customers throughout the entire customer lifecycle, including the development, construction, and production of extensive GPU cloud infrastructure.
  • Conducting regular technical customer meetings to discuss project/product details, features, introduce new technologies, and perform debugging.
  • Working with customers to build Proofs of Concept (PoCs) for solutions that address critical business needs by developing networking and compute infrastructure.
  • Preparing and delivering technical content to customers, including presentations and workshops.
  • Analyzing and developing joint solutions to address customer performance and scaling issues.

Benefits

  • Equity
  • Benefits
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