AI Factory CPU focused Solutions Architect
AI summary of the role
NVIDIA seeks a Solutions Architect to drive adoption of CPU-based solutions within the NVIDIA AI Factory, working with customers to deploy and operationalize large-scale HPC and AI infrastructure.
What you’ll do
- Help partners adopt end-to-end AI solutions using NVIDIA's compute, networking, and software stacks
- Enable customers adopting CPU-based solutions as part of the NVIDIA AI Factory
- Define, deploy, and test large scale reference architectures for HPC and AI
- Deliver demos, assist with proof-of-concepts, and write papers and developer blogs
What you’ll bring
- 6+ years hands-on expertise with modern data center architectures and interaction between CPUs, GPUs, and networking
- Experience defining, deploying, and testing large scale reference architectures for HPC and AI
- Track record of defining and using MLOps and AI workflow tools and processes
- BS, MS, or equivalent experience in Engineering
Technologies
NVIDIA Reference Architectures · CPU · GPU · networking · MLOps · Arm · Agentic AI · reinforcement learning · HPC · AI workflows
About NVIDIA
Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.
Public
Source and classification
Technical pre-sales · Evidence for this classification:
Do you want to be part of a team that's revolutionizing the field of AI with data center scale solutions? We are looking for a hardworking Solution Architect with experience in designing, building, and maintaining large-scale HPC and AI infrastructure to join our team at NVIDIA. As Solution Architects, we are actively helping make AI Factories a reality. Working closely with customers and partners to address unsolved problems in the industry, our team helps to deploy and operationalize AI solutions at scale. What you'll be doing: Our day-to-day work involves helping our partners be successful in their adoption of end-to-end AI solutions using NVIDIA's compute, networking, and software stacks. For this particular role, that means having a deep technical understanding of NVIDIA Reference Architectures, and using that understanding to enable customers adopting our CPU-based solutions as
More from the job description
Do you want to be part of a team that's revolutionizing the field of AI with data center scale solutions? We are looking for a hardworking Solution Architect with experience in designing, building, and maintaining large-scale HPC and AI infrastructure to join our team at NVIDIA. As Solution Architects, we are actively helping make AI Factories a reality. Working closely with customers and partners to address unsolved problems in the industry, our team helps to deploy and operationalize AI solutions at scale. What you'll be doing: Our day-to-day work involves helping our partners be successful in their adoption of end-to-end AI solutions using NVIDIA's compute, networking, and software stacks. For this particular role, that means having a deep technical understanding of NVIDIA Reference Architectures, and using that understanding to enable customers adopting our CPU-based solutions as part of the overall NVIDIA AI Factory. This is a multi-faceted role necessitating being comfortable working on not just hardware and software elements, but also the larger AI workflow and operationalization of large scale compute resources. We succeed when we help our customers overcome barriers to adopting our best known methods. As the technical leader for the CPU components within the NVIDIA AI Factory, you will play an instrumental role in driving that success. If this sounds exciting to yo [... source excerpt omitted ...] ng, and discussing technical materials with groups that can be comprised of a range of technical capability. Flexibility to adapt in fluid situations, especially with partners or customers. Comfortable with occasional travel to customer sites. Ways to stand out from the crowd: Hands-on experience with Arm-based server processors and the Arm software ecosystem. Proficiency with tooling, automation, and performance testing for large-scale clusters, preferably using AI tools. Deep understanding of Agentic AI and inference workflows. Experience building, using, and explaining reinforcement learning. Willingness and ability to learn quickly as we address sophisticated problems [... source excerpt omitted ...] ur 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 April 25, 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, nat
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