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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Center Connectivity Engineer - **Company:** NVIDIA Ltd. - **Location:** United States - **Experience:** Expert - **Salary:** $208,000.0 - $333,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Computer Clusters, Data Centers, InfiniBand, Network Security, Network Architecture, Network Diagrams, Remote Direct Memory Access, High Performance Computing - **Published:** May 27, 2026 - **Apply:** https://www.juju.com/job/00000000g31efw ## About the Role + Minimum of 12+ years in a connectivity, network architecture or engineering role within a Hyperscale Cloud Provider, large-scale enterprise data center, or High-Performance Computing (HPC) environment. + BA or BS (or equivalent experience). + Consistent record of designing, deploying, and operating network fabrics for thousands of GPU/CPU nodes. + Deep expertise in high-speed interconnect technologies, including InfiniBand, RoCE, and RDMA. + Proven experience designing connectivity solutions for high-density GPU clusters (100kW+ per rack) and understanding the unique front-end and back-end requirements for AI training vs. inference. + Deep understanding of data center infrastructure, including rack power/cooling, cable management, and physical density constraints. + Demonstrated ability to lead multidisciplinary teams and complete sophisticated technical initiatives. Ways to stand out from the crowd: + Deep expertise with NVIDIA's compute and network product families and deployment standards. + Comfortable operating at the intersection of network engineering, MEP systems, and Infrastructure as a Service software layer. + Experienced with field deployments and/or global reference design documentation, ideally both. ## Description The connectivity engineer translates product reference architectures and logical network diagrams into physical builds. This applies to NVIDIA's AI Factory build guidelines and NVIDIA's large-scale internal research clusters. This role will act as the lead engineer for all in-cluster cabling, pathway and rack layout optimizations required to power global-scale AI deployments, ensuring the cluster is co-designed with facilities infrastructure (Power&Cooling) and Infrastructure Software. This role provides an outstanding opportunity to be at the forefront of NVIDIA's technology roadmap! What you'll be doing: + Own the development of connectivity reference designs based on requirements from cluster architecture, network engineering, infrastructure software and product hardware teams. + Build and develop comprehensive documentation, including detailed rack elevations and network architecture diagrams and cabling point-to-point list. Support projects throughout design and deployment phases. + Serve as the primary engineering support, closely collaborating with deployment and field teams to ensure successful cluster build-out and operation. + Strategically co-design the cluster with power and cooling infrastructure teams, ensuring a thorough understanding of all facility architectural requirements (Arch, power, cooling). + Work with hardware, network and security teams to translate software stack requirements into physical requirements: hardware selection, fault domain, network architecture. + Develop new solutions and products in the connectivity space to accelerate the deployment of large scale AI Factories ## Related Videos - [The Gashlycrumb Tinies of AI Networking You Must Know (or Languish!)](https://www.wearedevelopers.com/videos/2067-the-gashlycrumb-tinies-of-ai-networking-you-must-know-or-languish) - [Green Cloud Computing](https://www.wearedevelopers.com/videos/592-green-cloud-computing) - [The Sustainability Race: AI's Promises, Pitfalls and Potential](https://www.wearedevelopers.com/videos/100155-the-sustainability-race-ai-s-promises-pitfalls-and-potential) - [A Deep Dive on How To Leverage the NVIDIA GB200 for Ultra-Fast Training and Inference on Kubernetes](https://www.wearedevelopers.com/videos/1625-a-deep-dive-on-how-to-leverage-the-nvidia-gb200-for-ultra-fast-training-and-inference-on-kubernetes) - [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia) - [Your Next AI Needs 10,000 GPUs. Now What?](https://www.wearedevelopers.com/videos/1590-your-next-ai-needs-10-000-gpus-now-what) ## Related Articles - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Top 6 Hackathons for Developers in 2023](https://www.wearedevelopers.com/magazine/263-top-6-hackathons-for-developers-in-2023) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Got AI ideas but no money? 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