Senior Director, Enterprise Networking

NVIDIA's Enterprise Infrastructure organization is seeking a Senior Director, Enterprise Networking to lead the strategy, architecture, deployment, and operations of NVIDIA's global enterprise network. This is a critical leadership role responsible for the end-to-end network that connects NVIDIA's offices, campuses, HPC data centers, labs, and cloud environments worldwide.

As NVIDIA scales at an unprecedented pace to power the AI revolution, this leader will drive Agentic AI-based transformation of our enterprise network to match the velocity, reliability, and security demands of the world's leading AI company.

Key responsibilities include:

• Setting the technical vision, strategy, and multi-year roadmap for the global enterprise network, spanning on-prem and cloud environments.
• Leading the design, deployment, and operation of wired/wireless office networks, campus edge, and robust SD-WAN/POP/WAN architecture for resilient global connectivity leveraging Agentic AI.
• Driving HPC data center networking, including high-speed interconnects, spine-leaf fabrics, and capacity planning for GPU-dense research and engineering infrastructure.
• Architecting and managing on-ramp to cloud connectivity, including direct peering, interconnects, and hybrid network integration with major CSPs (AWS, Azure, GCP).
• Overseeing network firewall and security infrastructure, including NGFW, segmentation, micro-segmentation, NAC, and Zero Trust access, in partnership with Cybersecurity.
• Establishing agentic, data-driven, SRE-oriented operating model with well-defined SLOs, observability, automation, and continuous improvement across all network domains.
• Building, mentoring, and scaling a globally distributed engineering organization spanning architecture, design, deployments, and network site reliability engineering, transforming team and processes to leverage agentic AI.
• Partnering cross-functionally (IT, Security, Real Estate, Facilities, Cloud Engineering) to ensure network readiness for all business needs, and representing networking at the executive level by translating complexity into business outcomes and investment priorities.

Requirements include:

• Bachelor's degree in Computer Science, Electrical Engineering, or related technical field, or equivalent experience.
• 18+ years of overall experience in network engineering, architecture, and operations, with 10+ years of leadership experience managing large, geographically distributed network teams.
• Deep expertise across enterprise networking domains: LAN/WLAN, WAN/SD-WAN, data center networking, campus edge, network security, and cloud connectivity.
• Proven track record of transforming network operations at scale , moving from traditional NOC models to modern, software-driven SRE and agentic AI first approaches.
• Experience operating networks in hyperscale or large enterprise environments with thousands of network devices across multiple geographies.
• Strong command of network security architecture, including NGFW, NAC (ISE/similar), network segmentation, IPsec VPN, and Zero Trust principles.
• Demonstrated ability to build and develop high-performing teams, including hiring, mentoring, and succession planning across multiple management layers.
• Exceptional executive communication skills , able to translate technical infrastructure priorities into business language for senior leadership.
• Experience managing vendor relationships and technology evaluations across networking platforms (Arista, Cisco, Juniper/Mist, Palo Alto, Aryaka, or similar).

Preferred qualifications include:

• Experience at a hyperscale cloud service provider, large technology, AI, or HPC-focused organization, with familiarity in HPC and AI cluster networking (InfiniBand, Spectrum-X, RDMA/RoCE).
• Background in network automation and infrastructure-as-code (Terraform, Ansible, Python, Netconf/YANG).
• Experience implementing SRE principles (observability, SLOs/SLIs, incident management, runbook automation) leveraging AI/ML and AI agents.
• Deployed cloud networking and hybrid architectures across AWS, Azure, and GCP.
• Track record of operating networks supporting rapid physical expansion (new office builds, lab stand-ups, and data center deployments).