Senior Network Engineer - DGX Cloud

Reposted 7 Days Ago
2 Locations
In-Office or Remote
168K-322K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop a reliable and scalable cloud network infrastructure. Lead architecture, automate network management, and troubleshoot network stacks. Requires expertise in IP networking technologies and protocols with proven experience in large-scale network implementation.
Summary Generated by Built In

NVIDIA is looking for a Senior Network Engineer to develop a cloud network infrastructure. The goal is to craft a reliable, scalable and efficient network to support NVIDIA software development workflows and tools, including CI/CD pipelines, compute resource management flow and developer productivity tools. The network is serving the needs across the whole software stack for NVIDIA from Graphics Drivers to Autonomous Vehicles to Deep Learning frameworks. To achieve this goal, we are looking for an engineer who has a deep understanding of L3 underlay networks, outstanding design skills and a track record in building and delivering large-scale networks.

What You Will Be Doing:

  • Lead the overall architecture and design of our cloud network infrastructure including intra-DC, inter-DC, Corp IT, and Internet connectivity

  • Implement, manage and troubleshoot entire network stacks.

  • Automate network infrastructure end-to-end including provisioning, management and monitoring.

What We Need To See:

  • Expert knowledge in large scale IP Networking Technologies and protocols such as: MP-BGP, OSPF, ISIS, VRF, VxLAN, EVPN, QoS, GRE, IPSEC, DNS, MACsec.

  • Hands-on experience around Peering and Datacenter interconnect technologies: PNI, Transit, Exchange, Passive DWDM, Wave circuits.

  • Ability to write and understand Python/Shell scripts and programs for automation, tools, frameworks, dashboards, alarms.

  • Understanding of network virtualization such as: VRFs, VXLAN. Familiarity with Arista, Cumulus OS, Fortinet OS etc. Expert in the field of network, especially in underlay network.

  • Strong track record of implementing network services in a variety of distributed computing environments.

  • You have architected, built, and deployed a network for a large scale (1000s of machines) in the past, used by 1000s of people. Familiar with designing and building POPs and large scale WANs.

  • Hands-on experience with high performance network and network optimization in highly-available, large-scale, multisite, international environments. Great communication and presentation skills.

  • 8+ years of experience in network, especially experience in Arista switches.

  • BS Degree or the equivalent experience.

Ways To Stand Out From The Crowd:

  • Hands-on background with building tooling and automation for provisioning, monitoring, and managing the network infrastructure.

  • Hands-on experience in designing and implementing networks at scale, such as automated deployments (e.g., ZTP)

  • Passionate about innovating and investing in ground breaking technologies.

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 4, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

Arista
Cumulus Os
Dns
Evpn
Fortinet Os
Gre
Ipsec
Isis
L3 Networks
Macsec
Mp-Bgp
Ospf
Python
Qos
Shell Scripting
Vrf
Vxlan
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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