Solutions Architect - NVIDIA Cloud Partners

NVIDIA is seeking an experienced Solutions Architect to help bridge the gap between design and deployment of large-scale AI and HPC GPU infrastructure. The successful candidate will be part of the NVIDIA team focused on supporting customers as they build the next-generation GPU infrastructure for their customers.

Responsibilities:

• Collaborate with NVIDIA Cloud Partners to create, implement, and operate NVIDIA's innovative hardware and software solutions.
• Partner with Sales Account Managers and other business leads to identify and secure business opportunities for NVIDIA products and solutions.
• Act as primary technical support for customers during development, construction, and production of extensive GPU cloud infrastructure throughout the customer lifecycle.
• Conduct regular technical customer meetings for project/product details, feature discussions, introduction to new technologies, and debugging sessions.
• Work with customers to build Proofs of Concept (PoCs) for solutions addressing critical business needs by building out 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.

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 ability to balance multiple tasks. Ability to communicate ideas clearly through documents, presentations, etc.

Preferred Qualifications:

• 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, encompassing performance testing, AI benchmarking, and more.
• Practical involvement in cluster administration and coordination (SLURM, K8s, etc.).

The successful candidate will also be eligible for equity and benefits.