This role pays more than
77%
of similar roles. Most pay
$140,663–$215,000
— the shaded band above.
At the midpoint, this role pays about
$216k
versus about
$178k
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.
Senior Network Engineer - Deployments joins the Network Deployment Engineering team to lead complex data center and WAN deployments from architecture through production readiness. This role involves designing, building, and optimizing high-availability network architectures using BGP, EVPN, VXLAN, SD-WAN, and IPsec technologies. The engineer will manage multi-vendor environments featuring Arista, NVIDIA Cumulus Linux, Palo Alto Networks, F5, and Citrix. To ensure scalable operations, the position requires developing automation workflows using Python, Ansible, Salt, and REST APIs. Key responsibilities include performing packet-level troubleshooting with Wireshark or tcpdump, establishing deployment standards, and translating production lessons into reusable engineering models. The role addresses critical infrastructure challenges in data centers and global connectivity, specifically focusing on modern EVPN/VXLAN fabrics, multi-tenant segmentation, and emerging AI networking technologies like RoCEv2 and RDMA within high-performance computing environments.
What does a Network Engineer earn?
Median $150000 from 94 postings across 23 companies.
Lead end-to-end deployment of complex global data center and WAN infrastructure from design through production handoff.
Design and optimize high-availability network architectures using BGP, EVPN, VXLAN, SD-WAN, and IPsec technologies.
Build and manage multi-vendor environments involving Arista, NVIDIA Cumulus Linux, Palo Alto Networks, F5, and Citrix.
Develop automation scripts using Python, Ansible, Salt, and APIs to create scalable and repeatable deployment workflows.
Serve as a senior technical escalation point for packet-level troubleshooting and performance analysis of complex network issues.
Establish rigorous deployment standards including topology documentation, configuration validation, and pre/post-change testing procedures.
Translate production lessons into reusable engineering standards and automated models for global infrastructure improvements.
What we're looking for
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Technology, or a related technical field, or equivalent experience.
8+ years of progressive network engineering experience in large-scale data center, WAN, or enterprise network design and deployment.
Deep knowledge of BGP, IP routing, EVPN/VXLAN leaf-spine architectures, routing policy, segmentation, and multi-tenant networking.
Hands-on expertise with Arista and NVIDIA Cumulus Linux for configuration, deployment, and Linux-based troubleshooting.
Proficiency in network automation using Python, Ansible, Salt, REST APIs, or comparable frameworks.
Advanced troubleshooting skills across routing, switching, firewalls, load balancers, and packet-level analysis using Wireshark or tcpdump.
Strong technical communication and project execution skills to coordinate cross-functional stakeholders for concurrent infrastructure projects.
Advanced knowledge of Palo Alto Networks, F5, Citrix, SD-WAN, IPsec, AI/HPC networking (RoCEv2, RDMA), or advanced certifications like CCNP/CCIE (preferred).