Director, Enterprise Network Deployment & Automation

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, NVIDIA is using the potential of AI to define the next era of computing, with GPUs powering computers, robots, and self-driving cars.

NVIDIA's Enterprise Infrastructure organization is seeking a Director, Enterprise Network Deployment & Automation to own the global deployment of NVIDIA's enterprise network across office sites, data centers, contract manufacturing facilities, the global backbone, SD-WAN, campus, and data center edge. This leader will also build agentic AI and automation capabilities that scale capacity planning, design, deployment, and Day 2 change operations. Reporting to the Senior Director, Enterprise Networking, the role will translate network architecture and strategy into repeatable, automated, and globally delivered deployment programs.

Responsibilities

• Own end-to-end global network deployment execution across corporate offices, campuses, HPC data centers, contract manufacturing facilities, and labs, spanning the global backbone, SD-WAN/POP/WAN, campus, and data center edge.
• Build and scale a program that plans, designs, and deploys network capacity ahead of business demand, coordinating with Real Estate, Facilities, and Data Center Engineering on site timelines.
• Lead the design and development of agentic AI and automation tooling for capacity planning, configuration design, deployment delivery, and Day 2 changes, reducing manual effort and human error.
• Establish standardized, repeatable deployment methodologies, including reference architectures, golden configurations, automated validation, and turn-up testing.
• Define and track deployment SLAs, automation coverage, and change-success metrics, and build observability into the deployment pipeline.
• Manage Day 2 network changes, including moves, adds, changes, capacity augments, and lifecycle refreshes, through automated, low-touch workflows with strong change governance.
• Recruit, mentor, and develop a globally distributed team of deployment engineers, automation engineers, and program managers.
• Partner with Enterprise Networking, Architecture, Security, Cloud Engineering, and Site Reliability teams to align deployment plans with the broader network strategy and roadmap.
• Manage vendor and contractor relationships for cabling, hardware staging, installation, and other physical deployment work across a global site footprint.

Requirements

• Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience.
• 13 or more years of experience in network engineering, deployment, or infrastructure operations, including 6 or more years of leadership experience managing distributed technical teams.
• Hands-on experience with enterprise networking domains, including LAN/WLAN, SD-WAN/WAN, campus and data center edge, and global backbone connectivity.
• Track record of standing up new physical sites, including offices, data centers, and contract manufacturing facilities, from design through turn-up.
• Direct experience building or deploying network automation and/or AI-driven tooling to reduce manual deployment and change effort at scale.
• Experience managing Day 2 operations, including change management, capacity augments, and lifecycle refreshes, for a large geographically distributed network.
• Proven ability to build and scale high-performing, globally distributed engineering and deployment teams.
• Strong program and vendor management skills, with experience coordinating multi-site rollouts against aggressive timelines.
• Clear communication skills and the ability to align Real Estate, Facilities, Security, and Cloud Engineering stakeholders around deployment plans and tradeoffs.

Preferred Qualifications

• Experience deploying network infrastructure for HPC/AI data centers or GPU-dense compute environments, including InfiniBand, Spectrum-X, RDMA, or RoCE.
• Experience building agentic AI workflows or AI-assisted automation, such as AI agents for network design validation, configuration generation, or change execution.
• Experience with infrastructure-as-code and automation toolchains such as Terraform, Ansible, Python, and Netconf/YANG, applied to deployment and turn-up pipelines.
• Experience operating in a hyperscale or large enterprise environment supporting rapid physical expansion, including new office builds, lab stand-ups, and data center deployments on a global scale.
• Familiarity with contract manufacturing facility networking requirements and constraints.

Benefits

The role offers eligibility for equity and benefits. NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.

Applications will be accepted at least until September 20, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.