Senior Solutions Architect, NVIDIA Cloud Partners
Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Apr 15, 2026. NVIDIA scores B on the Alion truth index.
NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning (DL) software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts focused on Generative AI and Large Language Models (LLMs). You will also collaborate with a diverse set of internal teams on performance analysis and modeling of inference software. You should be comfortable working in a dynamic environment, and have experience with Generative AI, LLMs, and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA!
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.
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 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.
Familiarity with at scale GPU systems in general, encompassing performance testing, AI benchmarking, and more.
Practical involvement in cluster administration and coordination (SLURM, K8s, etc.).
We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
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.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 19, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.