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. The role focuses on bringing GenAI, AI, and ML hardware and software technologies into production and helping NVIDIA Cloud Partners and customers build next-generation GPU infrastructure. As part of NVIDIA’s solutions architecture team, this position drives end-to-end technology solution integration with strategic customers and provides recommendations to business and engineering teams based on customer feedback and product strategy. The role partners with sales and business leads, supports customers throughout the lifecycle of GPU cloud infrastructure, and develops technical solutions for customer needs. The base salary range is $184,000–$287,500 for Level 4 and $224,000–$356,500 for Level 5; the role is also eligible for equity and benefits. Applications will be accepted at least until October 30, 2026.

Requirements

  • Bachelor’s, master’s, or doctoral degree in Electrical or Computer Engineering, Computer Science, Physics, or another engineering field, or equivalent experience.
  • Motivation and skills to own and drive technical engagements with customers throughout the full customer lifecycle.
  • At least 8 years of Solution 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.
  • Efficient time management and ability to balance multiple tasks.
  • Ability to communicate ideas clearly through documents, presentations, and similar materials.

Nice To Haves

  • Practical familiarity with NVIDIA hardware, such as GPUs, Ethernet or 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.
  • Background with large-scale GPU systems, including performance testing and AI benchmarking.
  • Practical involvement in cluster administration and coordination, 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 during the development, construction, and production of large-scale GPU cloud infrastructure throughout the customer lifecycle.
  • Conduct regular technical customer meetings covering project and product details, feature discussions, introductions to new technologies, and debugging sessions.
  • Work with customers to build proof-of-concept solutions addressing critical business needs by developing 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.
  • Provide recommendations to business and engineering teams based on customer feedback on product strategy.

Benefits

  • Equity
  • Benefits
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