PrincipalDeploymentEngineer

. Principal Deployment Engineer – GPU Infrastructure Bringup Location: United States (Travel Required) Team: Infrastructure Reports to: Head of Infrastructure About Us We are building next-generation AI infrastructure from the ground up. Our mission is to deliver highly performant, reliable, and scalable GPU clusters purpose-built for large-scale AI training and inference. As a startup, we operate with urgency, ownership, and a bias toward action. We are assembling the foundational infrastructure that will power frontier AI workloads—and we’re looking for engineers who want to build it from zero to scale. The Role We are hiring a Principal Deployment Engineer to lead hands-on bringup of GPU clusters across our data center environments. You will own the execution of node, rack, and network deployment, ensuring clusters are validated, performant, and production-ready. This role is deeply technical and execution-focused. You will be in the details—cabling racks, validating firmware, tuning fabrics, debugging performance—and helping us build repeatable processes as we scale. What You’ll Do Cluster Deployment & Bringup Execute end-to-end bringup of GPU nodes and racks from installation to production readiness. Validate BIOS/BMC/firmware configurations and GPU health. Perform rack-level integration including power, cabling, and airflow validation. Bring up and validate high-speed network fabrics (InfiniBand, RoCE, 100–400G Ethernet). Network & Performance Validation Configure and validate leaf/spine network connectivity. Run cluster-wide burn-in and stress testing. Validate GPU-to-GPU and node-to-node performance (NCCL, RDMA, GPUDirect). Troubleshoot hardware, firmware, and fabric-level issues. Automation & Process Contribute to automation for provisioning and cluster validation. Improve deployment playbooks and documentation. Identify reliability issues early and drive corrective actions. Help turn ad hoc deployments into repeatable systems. Cross-Functional Collaboratio