Senior Solutions Architect, NVIDIA Cloud Partners

NVIDIA•Santa Clara, CA
•$184,000 - $287,500

About The Position

NVIDIA is seeking an AI Solutions Architect to support customers building solutions with its latest AI technology. The role serves as a trusted technical advisor to customers and focuses on projects and proofs of concept involving Generative AI and large language models (LLMs). It also collaborates with internal teams on performance analysis and modeling of inference software, working across accelerated computing and deep learning hardware and software platforms in an interdisciplinary, dynamic environment. The architect partners with NVIDIA Cloud Partners and internal sales and business teams to design, implement, and operationalize NVIDIA solutions. The role provides technical support throughout the customer lifecycle for large GPU cloud infrastructure, leads customer discussions and technical content delivery, and develops joint solutions for performance and scaling challenges.

Requirements

  • Bachelor's, master's, or Ph.D. in Electrical or Computer Engineering, Computer Science, Physics, another engineering field, or equivalent experience.
  • Motivation and ability to own and drive technical customer engagements throughout the full customer lifecycle.
  • At least 8 years of Solutions Engineering or similar Sales Engineering or 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.
  • Effective time management and the ability to balance multiple tasks.
  • Ability to communicate ideas clearly through documents, presentations, and other formats.

Nice To Haves

  • Practical familiarity with NVIDIA hardware, such as GPUs, Ethernet/InfiniBand networking components, and storage, in extensive AI and HPC cluster settings.
  • Practical knowledge of NVIDIA systems technology such as NCCL, DCGM, UFM, Mission Control, and Base Command Manager.
  • Familiarity with large-scale GPU systems, including performance testing and AI benchmarking.
  • Practical involvement in cluster administration and coordination using tools such as SLURM and Kubernetes.

Responsibilities

  • Collaborate with NVIDIA Cloud Partners to create, implement, and operationalize NVIDIA hardware and software solutions.
  • Partner with Sales Account Managers and other business leads to identify and secure business opportunities for NVIDIA products and solutions.
  • Serve as the primary technical support for customers throughout the development, construction, and production of extensive GPU cloud infrastructure and across the customer lifecycle.
  • Conduct regular technical customer meetings covering project and product details, features, new technologies, and debugging.
  • Work with customers to build proofs of concept addressing critical business needs, including building networking and compute infrastructure.
  • Prepare and deliver technical content to customers, including presentations and workshops.
  • Analyze and develop joint solutions for customer performance and scaling issues.
  • Collaborate with internal teams on performance analysis and modeling of inference software.

Benefits

  • Equity
  • Benefits
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