Senior Data Center Connectivity Engineer

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/CPU nodes. Deep expertise i...