AI Factory Solutions Architect — Scalable AI Infra

NVIDIA Corporation; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Solution Architect to design, deploy, and maintain large-scale HPC/AI infrastructure. You will lead CPU components within the NVIDIA AI Factory, working with customers and partners to enable AI deployments at scale.

The role requires deep technical expertise in NVIDIA reference architectures, strong communication skills, and willingness to travel to customer sites. A BS/MS in Engineering is preferred, with 6+ years in data center architecture and a proven track record in AI

Qualifications

• Experience defining, deploying and testing large-scale HPC/AI reference architectures.
• Proven track record with MLOps and AI workflow tools and processes.
• 6+ years in modern data center architectures involving CPUs, GPUs and networking.
• Strong analytical and problem-solving abilities with clear communication.
• Ability to multitask in a multifaceted environment and present to groups.

Responsibilities

• Define, deploy and optimize NVIDIA CPU-based components within the AI Factory.
• Collaborate with customers and partners to operationalize AI solutions at scale.
• Deliver demos, proofs-of-concept, and technical papers/blogs.
• Assist executives and engineers in solving complex problems and sharing knowledge.

Skills

HPC architectures

MLOps

Data center design

Analytical skills

Technical communication

Education

BS/MS in Engineering

Tools

NVIDIA Reference Architectures

AI workflow tooling

Job description

NVIDIA is seeking a Solution Architect to design, deploy, and maintain large-scale HPC/AI infrastructure. You will lead CPU components within the NVIDIA AI Factory, working with customers and partners to enable AI deployments at scale.

The role requires deep technical expertise in NVIDIA reference architectures, strong communication skills, and willingness to travel to customer sites. A BS/MS in Engineering is preferred, with 6+ years in data center architecture and a proven track record in AI