Lead AI Data Center Architect

NVIDIA; California (MO); On-site; USD 124,000 - 242,000; Full time

Benefits offered by this job

Equity

Benefits

Travel up to 50%

Job summary

NVIDIA is seeking an Infrastructure Solutions Architect to lead large-scale AI datacenter deployments, collaborate with customers and partners, and drive adoption of NVIDIA AI technologies across enterprise environments.

This role requires strong system-design and networking expertise, hands-on cloud integration, up to 50% travel, and the ability to work cross-functionally with sales, engineering, and NVIDIA Cloud Partners to deliver time-to-value.

Qualifications

• Bachelor’s or Master’s degree in Engineering or CS.
• 2+ years in system design or technical customer support in tech industry, travel up to 50%.
• Deep knowledge of datacenter hardware (servers, storage, networking).
• Strong analytical, time-management, and organizational skills.
• Excellent written and verbal communication, cross-functional collaboration.

Responsibilities

• Provide onsite technical leadership for large-scale NVIDIA AI datacenter deployments.
• Troubleshoot hardware and deployment issues across GPU, networking, and storage.
• Support sales teams and drive adoption through collaboration with customers and internal teams.
• Lead technical engagement with customer engineers to identify system architectures and requirements.
• Engage with NVIDIA Cloud Partner and Enterprise customers to accelerate deployment in cloud environments.

Skills

System design experience

Technical customer support

Networking expertise

Bash scripting

Ansible

Python programming

GPU/DPU technology

TCP/IP knowledge

Embedded Linux

Communication skills

Education

Bachelor's or Master's degree in Engineering or CS

Tools

Bash scripting

Ansible

Python

NCCL

Linux

Job description

NVIDIA is seeking an Infrastructure Solutions Architect to lead large-scale AI datacenter deployments, collaborate with customers and partners, and drive adoption of NVIDIA AI technologies across enterprise environments.

This role requires strong system-design and networking expertise, hands-on cloud integration, up to 50% travel, and the ability to work cross-functionally with sales, engineering, and NVIDIA Cloud Partners to deliver time-to-value.