Used Tools & Technologies
Machine LearningRequired Skills & Competences
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.
Security @ 4
Ansible @ 4
Terraform @ 4
Python @ 4
GCP @ 4
Hiring @ 4
Leadership @ 7
AWS @ 4
Azure @ 4
Communication @ 4
Mentoring @ 4
Networking @ 4
SRE @ 4
GPU @ 4
Observability @ 4
AI @ 4
InfiniBand @ 3
Agentic AI @ 4
HPC @ 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 has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. 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 connecting offices, campuses, HPC data centers, labs, and cloud environments worldwide.
Responsibilities
- Set the technical vision, strategy, and multi-year roadmap for the global enterprise network spanning on-prem and cloud environments.
- Lead 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.
- 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 on-ramp to cloud connectivity, including direct peering, interconnects, and hybrid network integration with major CSPs (AWS, Azure, GCP).
- Oversee network firewall and security infrastructure, including NGFW, segmentation, micro-segmentation, NAC, and Zero Trust access in partnership with Cybersecurity.
- Establish agentic, data-driven, SRE-oriented operating model with well-defined SLOs, observability, automation, and continuous improvement across all network domains.
- Build, mentor, and scale a globally distributed engineering organization spanning architecture, design, deployments, and network site reliability engineering.
- Partner cross-functionally (IT, Security, Real Estate, Facilities, Cloud Engineering) and represent networking at the executive level, translating technical complexity into business outcomes and investment priorities.
Requirements
- 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).
Ways to stand out / Preferred
- 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).
Compensation & Benefits
- Base salary range: 332,000 USD - 500,250 USD (base salary determined based on location, experience, and pay of employees in similar positions).
- Eligible for equity and benefits.
Other details
- Applications for this job 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 committed to diversity and inclusion.