Lead AI Datacenter Infrastructure Architect

NVIDIA; California (MO); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an Infrastructure Solutions Architect to lead large-scale AI datacenter deployments, guiding architecture and ensuring seamless integration across GPU, networking, and storage. This role demands hands-on system design experience and strong cross-functional collaboration with sales and partner teams.

You will collaborate with NVIDIA Cloud Partners to accelerate deployments in cloud environments while delivering time-to-value for enterprise AI initiatives.

Qualifications

• Bachelor’s or Master’s degree in Engineering, Electrical Engineering, Physics, Computer Science, or equivalent experience.
• 5+ years of experience in system design or technical customer support within the technology industry.
• Deep knowledge of datacenter hardware including servers, storage, and network devices.
• Strong communication and cross-functional collaboration skills.

Responsibilities

• Provide onsite technical leadership for large-scale NVIDIA AI datacenter deployments.
• Troubleshoot and resolve hardware and deployment issues across GPU, networking, and storage tech.
• Support sales teams and drive adoption through collaboration with customers and internal teams.
• Lead engagements to identify architectures and key product requirements in enterprise AI.
• Support engagement with NVIDIA Cloud Partners to accelerate deployments in cloud environments.

Skills

Datacenter architecture

Networking

Scripting & automation

Customer collaboration

Education

Engineering/CS degree

Tools

Bash scripting

Ansible

Python

NCCL

Job description

NVIDIA is seeking an Infrastructure Solutions Architect to lead large-scale AI datacenter deployments, guiding architecture and ensuring seamless integration across GPU, networking, and storage. This role demands hands-on system design experience and strong cross-functional collaboration with sales and partner teams.

You will collaborate with NVIDIA Cloud Partners to accelerate deployments in cloud environments while delivering time-to-value for enterprise AI initiatives.