Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
AWS @ 4
Agentic AI @ 4
Ansible @ 4
Azure @ 4
Communication @ 9
GCP @ 4
GPU
HPC @ 4
Hiring @ 6
IaC
InfiniBand @ 3
Leadership @ 7
Machine Learning
Mentoring @ 6
Networking @ 4
Observability @ 4
Python @ 4
SRE @ 4
Security @ 7
Terraform @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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 critical leadership role is responsible for the end-to-end network connecting NVIDIA's offices, campuses, HPC data centers, labs, and cloud environments worldwide. The leader will drive Agentic AI-based transformation of the enterprise network to meet the velocity, reliability, and security demands of a leading AI company.
Responsibilities
- Set the technical vision, strategy, and multi-year roadmap for the global enterprise network across on-premises and cloud environments.
- Lead the design, deployment, and operation of wired and wireless office networks, campus edge, and resilient SD-WAN, POP, and WAN architectures leveraging Agentic AI.
- Drive HPC data center networking, including high-speed interconnects, spine-leaf fabrics, and capacity planning for GPU-dense research and engineering infrastructure.
- Architect and manage cloud connectivity, including direct peering, interconnects, and hybrid network integration with AWS, Azure, and GCP.
- Oversee network firewall and security infrastructure, including NGFW, segmentation, micro-segmentation, NAC, and Zero Trust access, in partnership with Cybersecurity.
- Establish an agentic, data-driven, SRE-oriented operating model with defined SLOs, observability, automation, and continuous improvement across network domains.
- Build, mentor, and scale a globally distributed engineering organization spanning architecture, design, deployments, and network site reliability engineering.
- Partner with IT, Security, Real Estate, Facilities, and Cloud Engineering to ensure network readiness for business needs.
- Represent networking at the executive level by translating technical complexity into business outcomes and investment priorities.
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience.
- 18+ years of experience in network engineering, architecture, and operations, including 10+ years of leadership experience managing large, geographically distributed network teams.
- Deep expertise across enterprise networking domains, including LAN/WLAN, WAN/SD-WAN, data center networking, campus edge, network security, and cloud connectivity.
- Proven experience transforming network operations at scale 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 such as ISE, network segmentation, IPsec VPN, and Zero Trust principles.
- Demonstrated ability to build and develop high-performing teams through hiring, mentoring, and succession planning across multiple management layers.
- Exceptional executive communication skills and the ability to translate technical infrastructure priorities into business language.
- Experience managing vendor relationships and technology evaluations across networking platforms such as Arista, Cisco, Juniper/Mist, Palo Alto, and Aryaka.
Preferred Qualifications
- Experience at a hyperscale cloud service provider or a large technology, AI, or HPC-focused organization.
- Familiarity with HPC and AI cluster networking, including InfiniBand, Spectrum-X, RDMA, and RoCE.
- Experience with network automation and infrastructure as code using Terraform, Ansible, Python, and Netconf/YANG.
- Experience implementing SRE principles, including observability, SLOs/SLIs, incident management, and runbook automation, using AI/ML and AI agents.
- Experience deploying cloud networking and hybrid architectures across AWS, Azure, and GCP.
- Experience operating networks supporting rapid physical expansion, including new office builds, lab stand-ups, and data center deployments.
Compensation and Benefits
The base salary range is USD 332,000–500,250 per year. Compensation is determined based on location, experience, and the pay of employees in similar positions. The role is also eligible for equity and benefits.
Applications will be accepted at least until June 8, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.