Enterprise AI Infrastructure Architect

NVIDIA Corporation; Santa Clara (CA); On-site; USD 124,000 - 242,000; 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 and collaborate with sales, engineering and partners. You will troubleshoot complex hardware, networking, and storage deployments across GPU and data center tech, while guiding customers through architecture and deployment decisions.

The role requires strong system design, networking expertise and the ability to engage with NCPs and enterprise customers to drive time-to-value and successful

Qualifications

• Bachelor’s or Master’s degree in Engineering, Electrical Engineering, Physics, Computer Science, or equivalent experience.
• 2+ years in system design or technical customer support with cloud partner architecture, deployment and scaling.
• Travel up to 50% to customers, partners and datacenters.

Responsibilities

• Provide onsite technical leadership for large-scale NVIDIA AI datacenter deployments.
• Troubleshoot hardware, networking and storage deployment issues with customers.
• Lead technical engagement with customer engineers and decision-makers.
• Support NVIDIA Cloud Partners and Enterprise deployments to accelerate adoption.

Skills

System design

Networking

Cloud partner architecture

Deployment & scaling

Datacenter hardware

Cross-functional collaboration

Troubleshooting

Education

Bachelor’s degree

Master’s degree

Tools

Bash scripting

Ansible

Python

Job description

NVIDIA is seeking an Infrastructure Solutions Architect to lead large-scale AI datacenter deployments and collaborate with sales, engineering and partners. You will troubleshoot complex hardware, networking, and storage deployments across GPU and data center tech, while guiding customers through architecture and deployment decisions.

The role requires strong system design, networking expertise and the ability to engage with NCPs and enterprise customers to drive time-to-value and successful