Description
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.
As a Solutions Architect at NVIDIA, you will be part of a team that brings GenAI, AI, ML, and other hardware and software technologies to production in the field.
Your responsibilities will include:
- Collaborating with NVIDIA Cloud Partners to create, implement, and operate innovative hardware and software solutions
- Partnering with Sales Account Managers and other business leads to identify and secure business opportunities for NVIDIA products and solutions
- Acting as primary technical support for customers during the development, construction, and production of extensive GPU cloud infrastructure throughout the customer lifecycle
- Conducting regular technical customer meetings for project/product details, feature discussions, introduction to new technologies, and debugging sessions
- Working with customers to build Proofs of Concept (PoCs) for solutions to address critical business needs by building out networking and compute infrastructure
- Preparing and delivering technical content to customers, including presentations and workshops
- Analyzing and developing joint solutions for customer performance and scaling issues
To be successful in this role, you will need:
- A 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 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 include:
- 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.)
In terms of compensation, your 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 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.