Director, Enterprise Network Deployment & AI Automation

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 284,000 - 426,000

Full time

5 days ago
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Job summary

NVIDIA in Santa Clara, CA is seeking a Director, Enterprise Network Deployment & Automation to own global deployment of NVIDIA’s enterprise network across offices, data centers, CM facilities, the global backbone, SD-WAN, campus, and edge. Lead capacity planning, automation, and Day 2 change management at scale with a focus on repeatable playbooks and strong governance.

You will build and lead a globally distributed team of deployment and automation engineers, partner with Architecture,

Qualifications

  • Bachelor’s degree in Computer Science, Electrical Engineering, or related technical field (or equivalent).
  • 13+ years of experience in network engineering, deployment, or infrastructure operations.
  • 6+ years of leadership experience managing distributed technical teams.
  • Experience building or deploying network automation/AI-driven tooling at scale.

Responsibilities

  • Own end-to-end network deployment across offices, data centers, and facilities.
  • Lead capacity planning and rollout coordinating with Real Estate, Facilities, and Data Center Engineering.
  • Drive agentic AI and automation to reduce manual toil in deployment and changes.
  • Establish standardized deployment methodologies and repeatable playbooks.
  • Define deployment SLAs and observability for the pipeline and Day 2 changes.

Skills

Leadership experience
Program management
Vendor management
Global deployment

Education

Bachelor’s degree in Computer Science, Electrical Engineering, or related technical field

Tools

Terraform
Ansible
Python
Netconf/YANG

Job description

NVIDIA in Santa Clara, CA is seeking a Director, Enterprise Network Deployment & Automation to own global deployment of NVIDIA’s enterprise network across offices, data centers, CM facilities, the global backbone, SD-WAN, campus, and edge. Lead capacity planning, automation, and Day 2 change management at scale with a focus on repeatable playbooks and strong governance.

You will build and lead a globally distributed team of deployment and automation engineers, partner with Architecture,

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