Senior Network Engineer - Deployments

Details

NVIDIA's Network Deployment Engineering team designs and delivers the global network infrastructure supporting data centers, offices, labs, and critical business services. This highly technical, hands-on role leads complex data center and WAN deployments from architecture and design through production readiness and operational handoff. The work includes large-scale network engineering, deployment execution, advanced troubleshooting, infrastructure automation, EVPN/VXLAN fabrics, global WAN connectivity, multi-vendor networking, software-driven infrastructure, and emerging AI networking technologies.

Responsibilities

• Lead end-to-end deployment of complex global data center and WAN infrastructure, from requirements and technical design through implementation, validation, production cutover, and operational handoff.
• Design, build, and optimize highly available network architectures using BGP, EVPN, VXLAN, underlay and overlay routing, multi-tenancy, segmentation, SD-WAN, and IPsec technologies.
• Deliver large-scale, multi-vendor environments incorporating Arista, NVIDIA Cumulus Linux, Palo Alto Networks, F5, Citrix, and associated network services.
• Develop and expand network automation using Python, Ansible, Salt, APIs, and related frameworks to make deployments repeatable, scalable, auditable, and less dependent on manual configuration.
• Partner with Network Architecture, Network Operations, Security, Data Center Engineering, Facilities, compute and infrastructure teams, technical program managers, and external vendors to deliver complex infrastructure programs globally.
• Establish deployment practices covering network standards, topology documentation, implementation procedures, configuration validation, pre- and post-change testing, telemetry, and production readiness.
• Serve as a senior technical escalation point, applying routing knowledge, Linux tools, packet-level troubleshooting, telemetry, and performance analysis to resolve complex network issues.
• Translate production deployment lessons into reusable engineering standards, automated workflows, design improvements, and more efficient deployment models across NVIDIA's global infrastructure.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Technology, or a related technical field, or equivalent experience.
• 8 or more years of progressive network engineering experience, including significant hands-on responsibility for large-scale data center, WAN, or enterprise network design and deployment.
• Deep technical knowledge of BGP and IP routing, with strong understanding of EVPN/VXLAN leaf-spine or Clos/fat-tree architectures, routing policy, segmentation, and multi-tenant networking.
• Ability to independently drive complex network deployments through design, implementation, testing, migration or cutover, troubleshooting, and production acceptance.
• Hands-on expertise with Arista and NVIDIA Cumulus Linux, including configuration, deployment, operations, and Linux-based network troubleshooting.
• Proficiency with network automation and scripting, including Python, Ansible, Salt, REST APIs, or comparable automation frameworks.
• Advanced troubleshooting capabilities across routing, switching, overlays, firewalls, load balancers, and network connectivity, including packet-level analysis with tools such as Wireshark or tcpdump.
• Strong technical communication, organizational, and project execution skills, with the ability to coordinate cross-functional stakeholders and deliver multiple concurrent infrastructure projects.

Preferred Qualifications

• Advanced knowledge of Palo Alto Networks firewalls, F5 or Citrix load balancing, SD-WAN, IPsec VPNs, and large-scale network segmentation architectures.
• Design or deployment experience with AI/HPC networking, including NVIDIA Spectrum-X, RoCEv2, RDMA, lossless Ethernet, or native InfiniBand fabrics.
• Strong understanding of network telemetry, observability, automated validation, configuration compliance, and closed-loop infrastructure automation.
• Exposure to modern AI or agentic software frameworks applied to network engineering, including AI-assisted deployment, validation, troubleshooting, or infrastructure operations.
• Advanced networking certifications such as CCNP, CCIE, JNCIE, or equivalent demonstrated technical depth.

Compensation and Benefits

• Base salary range: USD 168,000–264,500 for Level 4, or USD 208,000–333,500 for Level 5.
• Eligible for equity and benefits.
• Applications accepted at least until September 20, 2026.
• NVIDIA is committed to an inclusive work environment and is an equal opportunity employer.