Director, Enterprise Network Deployment & Automation

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$284,000–$425,500 / yr
Posted
5 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $213k
This role $355k
$137k most similar roles pay here $456k

This role pays more than 98% of similar roles. Most pay $171,762–$254,925 — the shaded band above. At the midpoint, this role pays about $355k versus about $213k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 923 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 905 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Director, Enterprise Network Deployment & Automation

As the Director, Enterprise Network Deployment & Automation, you will join the Enterprise Infrastructure organization to own the global deployment of enterprise networks across office sites, data centers, contract manufacturing facilities, and the global backbone. You will lead the build-out of agentic AI and automation capabilities to scale capacity planning, design, and Day 2 change operations while establishing standardized, repeatable deployment methodologies. Your daily work involves managing end-to-end execution for SD-WAN, campus, and DC edge environments, coordinating with multi-functional partners like Real Estate and Security. You will manage vendor relationships, mentor a distributed team of engineers, and oversee infrastructure-as-code toolchains including Terraform, Ansible, Python, Netconf, and YANG. The role focuses on solving the challenge of rapid physical expansion by automating network turn-up pipelines and managing complex connectivity for high-performance computing and GPU-dense environments.

What you'll do

  • Own end-to-end network deployment execution across corporate offices, data centers, and manufacturing facilities globally.
  • Build and scale programs to plan, design, and deploy network capacity ahead of business demand.
  • Lead the development of agentic AI and automation tools to reduce manual toil in planning and configuration.
  • Establish standardized, repeatable deployment methodologies including reference architectures and automated validation testing.
  • Manage Day 2 network changes and lifecycle refreshes through automated, low-touch workflows.
  • Recruit, mentor, and grow a globally distributed team of engineers and program managers.
  • Manage vendor and contractor relationships for physical cabling, hardware staging, and installation tasks.

What we're looking for

  • Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience.
  • 13+ years of overall experience in network engineering, deployment, or infrastructure operations.
  • 6+ years of leadership experience managing distributed technical teams.
  • Hands-on depth in enterprise networking domains including LAN/WLAN, SD-WAN/WAN, campus, DC edge, and global backbone connectivity.
  • Track record of standing up new physical sites end-to-end from design through turn-up.
  • Direct experience building or deploying network automation and AI-driven tooling to reduce manual deployment and change effort at scale.
  • Experience managing Day 2 operations for a large, geographically distributed network footprint.
  • Strong program and vendor management skills with the ability to coordinate multi-site rollouts against aggressive timelines.
  • Experience deploying infrastructure for HPC/AI data centers or GPU-dense environments (preferred).
  • Background building agentic AI workflows or AI-assisted automation (preferred).
  • Experience with infrastructure-as-code and automation toolchains like Terraform, Ansible, Python, Netconf/YANG (preferred).
  • Track record of operating in a hyperscale or large enterprise environment supporting rapid physical expansion (preferred).
  • Familiarity with contract manufacturing facility networking requirements and constraints (preferred).

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