Senior Network Deployment Engineer – Global Data Center & WAN

NVIDIA Corporation

Santa Clara (CA)

Hybrid

USD 168,000 - 334,000

Full time

5 days ago
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Job summary

NVIDIA Corporation in Santa Clara, CA is seeking a Senior Network Deployment Engineer to lead global data center and WAN deployments from architecture through production handoff. You will design scalable, multi-vendor networks using EVPN/VXLAN, BGP, and underlay/overlay architectures, and drive automation to make deployments repeatable.

Join a hands-on team delivering enterprise-grade infrastructure, collaborating with architecture, operations, and security to accelerate AI infrastructure

Qualifications

  • 8+ years of progressive network engineering experience in large-scale data center/WAN deployments.
  • Deep knowledge of BGP and EVPN/VXLAN, with leaf-spine/Clos architectures, routing policy, segmentation, and multi-tenant networking.
  • Hands-on experience with Arista and NVIDIA Cumulus Linux, including configuration, deployment, and Linux-based troubleshooting.

Responsibilities

  • Lead end-to-end deployment of complex global data center and WAN infrastructure from requirements and design through implementation, validation, production cutover, and handoff.
  • Design, build, and optimize highly available network architectures using BGP, EVPN, VXLAN, underlay/overlay routing, SD-WAN, and IPsec technologies.
  • Develop and expand network automation using Python, Ansible, Salt, APIs, and related frameworks to make deployments repeatable and scalable.

Skills

BGP & EVPN/VXLAN
Multi-vendor networks
Python & Ansible
Troubleshooting
Network automation

Education

Bachelor's degree in CS/CE or related

Tools

Arista
NVIDIA Cumulus Linux
Palo Alto Networks
F5
Citrix

Job description

NVIDIA Corporation in Santa Clara, CA is seeking a Senior Network Deployment Engineer to lead global data center and WAN deployments from architecture through production handoff. You will design scalable, multi-vendor networks using EVPN/VXLAN, BGP, and underlay/overlay architectures, and drive automation to make deployments repeatable.

Join a hands-on team delivering enterprise-grade infrastructure, collaborating with architecture, operations, and security to accelerate AI infrastructure

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