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. Do you want to be part of the team that brings GenAI, AI, ML, etc. hardware and software technologies to production in the field? We are looking for a Solutions Architect to join the NVIDIA team focused on supporting customers as they build the next-generation GPU infrastructure for their customers. As a part of the NVIDIA solutions architecture team, you will be driving end-to-end technology solution integration with some of NVIDIA's most strategic customers as well as offering recommendations for business and engineering teams based on customer feedback on product strategy.
What you'll be doing:
- 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.
- Act as the primary technical support for customers during the development, construction and production of extensive GPU cloud infrastructure through 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 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.
What we need to see:
- 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 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.
Ways to stand out from the crowd:
- 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.).
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.
Applications for this job will be accepted at least until July 6, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
