Senior Solutions Architect, NVIDIA Cloud Partners

NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers building solutions with our newest AI technology. At NVIDIA, solutions architects work across different teams and help customers with the latest Accelerated Computing and Deep Learning (DL) software and hardware platforms. Join us at the forefront of technological advancement as a trusted technical advisor, working on exciting projects and proof-of-concepts focused on Generative AI and Large Language Models (LLMs). Collaborate with diverse internal teams on performance analysis and modeling of inference software in a dynamic environment.

Responsibilities

• Collaborate with NVIDIA Cloud Partners to create, implement, and operationalize 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 the primary technical support for customers during the development, construction, and production of extensive GPU cloud infrastructure throughout the customer lifecycle.
• Conduct regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, and debugging sessions.
• Work with customers to build proof-of-concepts (PoCs) for 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.

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.
• 8+ years of Solutions 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.
• Strong communication skills for conveying ideas through documents and presentations.

Skills

• 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.
• Familiarity with at-scale GPU systems, including performance testing and AI benchmarking.
• Practical involvement in cluster administration and coordination (SLURM, K8s, etc.).

Pay

Base salary range: 184,000 USD - 287,500 USD. Eligible for equity and benefits.

NVIDIA uses AI tools in its recruiting processes and is committed to fostering a diverse work environment as an equal opportunity employer.