Senior Network Deployment Engineer

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$168,000–$264,500 / yr
Employment
Full-time
Posted
8 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $159k
This role $216k
$99k $282k
below market most similar roles pay here above market

This role pays more than 85% of similar roles. Most pay $132,065–$186,450 — the blue band above. At the midpoint, this role pays about $216k versus about $159k 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 1626 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1115 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior Network Deployment Engineer

The Senior Network Deployment Engineer joins the team to lead complex, large-scale network deployment projects from inception to completion. This role involves the design, build-out, and continuous maintenance of high-performance enterprise network connectivity, specifically focusing on Cloud connectivity, WAN peerings, and data center builds. The engineer will manage end-to-end site deployments, including requirements gathering, architecture design, configuration, testing, and operational handover. Key responsibilities include driving network automation initiatives and providing third-level troubleshooting. Required technical skills include TCP/IP, routing and switching, BGP, IP routing, EVPN/VXLAN, and multi-tenant networking. Candidates must possess hands-on experience with Cisco, Arista, Cumulus Linux, Palo Alto firewalls, and load balancers like F5 or Citrix. Proficiency in Python, Ansible, Netmiko, and Linux is essential for automating workflows and managing production cutovers.

What you'll do

  • Lead the design, architecture, and implementation of complex cloud and WAN core network infrastructures.
  • Manage end-to-end site deployments from requirements gathering through configuration, testing, and final operational handover.
  • Develop and utilize Python and Ansible scripts to automate configuration management and deployment tasks.
  • Provide third-level troubleshooting and serve as the primary escalation point for complex network issues.
  • Create and maintain comprehensive network documentation, including diagrams, standards, and best practices.
  • Manage project timelines and resources to ensure on-time and on-budget completion of global site builds.
  • Integrate network deployments with monitoring, telemetry, and performance analysis platforms.

What we're looking for

  • Bachelor’s degree in Computer Science, IT, Engineering, or a related field or equivalent experience.
  • 8+ years of progressive network engineering experience in large-scale data center, WAN, or enterprise network design and deployment.
  • Strong fundamentals in TCP/IP, routing, and switching with hands-on experience driving production cutovers.
  • Hands-on experience with Cisco, Arista, or Cumulus Linux.
  • Deep technical knowledge of BGP, IP routing, EVPN/VXLAN leaf-spine or Clos/fat-tree architectures, and multi-tenant networking.
  • Security experience with Palo Alto firewalls, enterprise firewall policy, and troubleshooting.
  • Proficiency in Linux for troubleshooting and packet capture tools like Wireshark.
  • Medium proficiency in Python and automation frameworks such as Ansible or Salt to automate workflows.
  • CCNP/CCIE or comparable advanced industry certifications (preferred).
  • Strong experience with SD-WAN and IPsec VPNs (preferred).
  • Experience integrating network deployments with monitoring and telemetry platforms (preferred).
  • Track record of delivering repeatable, automated site builds using standardized templates and deployment pipelines (preferred).

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