Senior Solutions Architect, NVIDIA Cloud Partners

NVIDIA • Santa Clara, CA

2d • $184,000 - $356,500

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 supports customers as they bring GenAI, AI, ML, and related hardware and software technologies into production, helping build next-generation GPU infrastructure. The Solutions Architect 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 position works with NVIDIA Cloud Partners and customer teams throughout the full customer lifecycle, from development and construction through production. It also partners with sales and business leads to identify opportunities, develops proofs of concept, delivers technical content, and analyzes customer performance and scaling challenges.

The role is open at Level 4 or Level 5. Base salary ranges are $184,000–$287,500 for Level 4 and $224,000–$356,500 for Level 5. The position is also eligible for equity and benefits. Applications will be accepted at least until October 30, 2026. This posting is for an existing vacancy.

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 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 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.
• Background with large-scale GPU systems, including performance testing and AI benchmarking.
• Practical involvement in cluster administration and coordination, such as SLURM or 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 large-scale GPU cloud infrastructure.
• Conduct regular technical customer meetings covering project and product details, feature discussions, new technologies, and debugging.
• Work with customers to build proofs of concept 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 to customer performance and scaling issues.

Benefits

• Equity
• Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior