NVIDIA is looking for a Senior Network Engineer to join the Global Backbone Engineering team. Powering NVIDIA's DGX Cloud — a distributed AI-training and research platform — the team operates the network enabling the infrastructure's worldwide presence. They architect and scale the long-haul, high-capacity connectivity that bridges NVIDIA's AI factories with cloud providers, engineering optimized fiber paths, intelligent traffic routing, and industry-leading network technology to deliver flexibility and performance for intensive AI workloads across this expanding ecosystem. The goal is to design, build, and operate a highly reliable, scalable, and efficient backbone network that interconnects NVIDIA's global data centers, offices, and cloud environments — the foundational layer that enables AI training clusters, GPU compute fabrics, and software development pipelines to operate at peak performance worldwide. To achieve this goal, we are looking for an engineer with a deep understanding of large-scale WAN/backbone architectures, optical transport, and IP/MPLS technologies, and a proven track record of building and delivering carrier-grade networks.
What You Will Be Doing:
Lead the overall architecture and design of NVIDIA's global backbone network, including inter-DC connectivity, POP design, long-haul optical transport, and peering strategy.
Implement, manage, and troubleshoot the full backbone network stack, from optical layer through IP/MPLS and traffic engineering.
Automate backbone network infrastructure end-to-end, including circuit provisioning, capacity management, monitoring, and failure detection.
What We Need To See:
Expert knowledge in large-scale backbone networking technologies and protocols, including: MPLS, SR-MPLS, BGP-LU, RSVP-TE, IS-IS, OSPF, MP-BGP, BFD, QoS, MACsec, and IPFIX/NetFlow.
Hands-on experience with backbone interconnect and optical transport technologies: DWDM, coherent optics, passive and active optical networking, OTN, and 400G/800G long-haul circuits.
Deep experience with peering and internet exchange: PNI, transit provider management, IXP connectivity, and BGP policy and traffic engineering at scale.
Ability to write and understand Python/Shell scripts and programs for automation, tooling, capacity planning dashboards, and network alarming.
Strong familiarity with backbone-class routing platforms such as Juniper MX/PTX, Cisco ASR/NCS, or equivalent carrier-grade systems.
You have architected, built, and operated a backbone or WAN network spanning multiple continents, serving thousands of machines and millions of traffic flows.
Hands-on experience with high-performance network optimization in highly-available, large-scale, multisite, international environments. Great communication and presentation skills.
8+ years of experience in network engineering, with substantial focus on backbone/WAN or carrier-grade environments.
BS Degree in Computer Science, Electrical Engineering, or equivalent experience.
Ways To Stand Out From The Crowd:
Hands-on background building tooling and automation for backbone provisioning, real-time monitoring, and capacity management.
Experience designing and operating networks at hyperscaler or major ISP/carrier scale, including traffic engineering and ECMP optimization across global POPs.
Passionate about innovating and investing in groundbreaking networking technologies such as segment routing, intent-based networking, and AIOps for network operations.
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.
Skills Required
- Expert knowledge of large-scale backbone networking protocols (MPLS, SR-MPLS, BGP-LU, RSVP-TE, IS-IS, OSPF, MP-BGP, BFD, QoS, MACsec, IPFIX/NetFlow)
- Hands-on experience with optical transport and backbone interconnect: DWDM, coherent optics, passive and active optical networking, OTN, 400G/800G long-haul circuits
- Deep experience with peering, PNI, transit provider management, IXP connectivity, BGP policy and traffic engineering at scale
- Ability to write and understand automation scripts/programs in Python and Shell for provisioning, tooling, capacity planning, and alarming
- Familiarity with backbone-class routing platforms (Juniper MX/PTX, Cisco ASR/NCS or equivalent carrier-grade systems)
- Proven track record architecting, building, and operating multi-continent backbone/WAN networks
- Hands-on experience with high-performance network optimization in highly-available, large-scale, multisite international environments
- Strong communication and presentation skills
- 8+ years of network engineering experience with focus on backbone/WAN or carrier-grade environments
- BS degree in Computer Science, Electrical Engineering, or equivalent experience
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”
