Senior Systems Engineer- Network Infrastructure

Overview We are building next-generation AI infrastructure from the ground up. Our mission is to deliver highly performant, reliable, and scalable network clusters purpose-built for large-scale AI training and inference. The Role We are hiring a Senior Deployment Engineer to lead hands-on bringup of network 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 Execute end-to-end bringup of network nodes and racks from installation to production readiness. Validate BIOS/BMC/firmware configurations and network health. Perform rack-level integration including power, cabling, and airflow validation. Bring up and validate high-speed network fabrics (InfiniBand, RoCE, 100–400G Ethernet). Configure and validate leaf/spine network connectivity. Run cluster-wide burn-in and stress testing. Validate node-to-node performance (NCCL, RDMA, GPUDirect). Troubleshoot hardware, firmware, and fabric-level issues. 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. Work closely with networking, systems software, and data center teams. Coordinate with hardware vendors to resolve bringup issues. Support rapid capacity expansion as we scale. Qualifications Required 5–8+ years in infrastructure engineering, hardware deployment, or data center operations. Hands-on experience deploying network servers (HGX/DGX or similar platforms). Experience with high-speed networking (InfiniBand, RoCE, Ethernet fabrics). Strong Linux systems knowledge. Experience troubleshooting distributed systems performance issues. Comfortable working onsite in data center environments as needed. Strongly Preferred Experience in AI/ML infrastructure or HPC environments. Familiarity with NCCL, CUDA, RDMA. Automation experience (Python, Ansible, Terraform, Bash). Experience in high-density power and cooling environments. What Success Looks Like Clusters are brought online quickly and correctly. Performance baselines meet or exceed expectations. Deployment processes become faster and more reliable over time. You help build the foundation for scaled infrastructure growth. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here. #J-18808-Ljbffr Nscale