SeniorDataCenterConnectivityEngineer

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 **What we need to see:** * 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/