Solutions Architect - NVIDIA Cloud Partners
NVIDIA AI · Santa Clara, CA · 1 wk ago
EngineeringFull-time
About the role
We are looking for an experienced Solutions Architect to help bridge the gap between design and deployment of large-scale AI and HPC GPU infrastructure. The ideal candidate will be part of the NVIDIA team focused on supporting customers as they build the next-generation GPU infrastructure for their customers.
Responsibilities
- Collaborating with NVIDIA Cloud Partners to create, implement, and put into operation 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.
- As the primary technical support for customers during the development, construction and production of extensive GPU cloud infrastructure through the whole customer lifecycle.
- Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
- Work with customers to build Proof of Concepts (PoCs) for solutions to address critical business needs by building out networking and compute infrastructure.
- Prepare and deliver technical content to customers including presentations, workshops, etc.
- 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 life-cycle.
- 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 capable of balancing multiple tasks.
- Ability to communicate ideas clearly through documents, presentations, etc.
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 in general, encompassing performance testing, AI benchmarking, and more.
- Practical involvement in cluster administration and coordination (SLURM, K8s, etc.).
Skills
- Strong problem-solving and analytical skills.
- Excellent communication and presentation skills.
- Ability to work independently and as part of a team.
- Knowledge of cloud platforms and services.
Benefits
Base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $184,000 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5. You will also be eligible for equity and benefits.
Pay
The base salary range is $184,000 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5.
Schedule
Full-time
Application Instructions
Applications for this job will be accepted at least until July 6, 2026.