Senior Deployment Manager: Data Center & Network (Equity)

NVIDIA Corporation; Santa Clara (CA); On-site; USD 248,000 - 397,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Santa Clara, CA is seeking a Deployment Manager to coordinate datacenter and network deployment activities with Network Automation, Network Architecture, and Network Engineering teams. You will align deployment requirements and build repeatable workflows for scalable AI infrastructure.

The role requires 9+ years in infrastructure deployment, 5+ years in engineering leadership, and deep knowledge of backbone and datacenter networks, ZTP, and datacenter tooling.

Qualifications

• Bachelor's degree in engineering, computer science, telecommunications, or related field.
• 9+ years of infrastructure deployment or related experience.
• 5+ years of engineering leadership managing teams or complex programs.
• Strong networking expertise across backbone and datacenter edge layers.
• Knowledge of ZTP mechanisms and datacenter build tools.

Responsibilities

• Serve as a primary coordination point between network customer/stakeholder teams and internal networks.
• Collaborate with Architecture and Engineering to understand designs and align on standards.
• Coordinate provisioning workflows with Network Automation and stakeholders.
• Identify and drive deployment feature requests for tooling improvements.
• Coordinate datacenter deployment activities, including config generation and validation.
• Improve deployment predictability by tracking processes and tooling improvements.

Skills

Network deployment

Leadership

Backbone networks

ZTP

Scripting / automation

Education

Bachelor's degree in engineering or related field

Tools

Ansible

Terraform

Python

APIs

Job description

NVIDIA Corporation in Santa Clara, CA is seeking a Deployment Manager to coordinate datacenter and network deployment activities with Network Automation, Network Architecture, and Network Engineering teams. You will align deployment requirements and build repeatable workflows for scalable AI infrastructure.

The role requires 9+ years in infrastructure deployment, 5+ years in engineering leadership, and deep knowledge of backbone and datacenter networks, ZTP, and datacenter tooling.