Nscale
Technology
SeniorDeploymentEngineer
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“Senior Deployment Engineer at Nscale. Skills: GPU Infrastructure, Cluster Deployment, High-speed Networking. Execute cluster bringup. Validate BIOS/MC/firmware”
What You'll Achieve.
Clusters brought online quickly; Clusters brought online correctly; Performance baselines meet expectations; Performance baselines exceed expectations; Deployment processes faster; Deployment processes reliable; Build foundation for scaled growth
Industry & Context.
Troubleshoot hardware; Troubleshoot firmware; Troubleshoot fabric; Troubleshoot distributed systems performance
Travel Required, Onsite work required
What They're Looking For.
Must Have
5-8+ years infrastructure engineering, 5-8+ years hardware deployment, 5-8+ years data center operations, Hands-on GPU servers deployment, High-speed networking experience, Linux systems knowledge, Troubleshoot distributed systems performance, Comfortable working onsite
Nice to Have
AI/ML infrastructure experience, HPC environments experience, NCCL familiarity, CUDA familiarity, RDMA familiarity, Automation experience, Python automation experience, Ansible automation experience, Terraform automation experience, Bash automation experience, High-density power experience, Cooling environments experience
What You'll Do.
Execute cluster bringup
Validate BIOS/MC/firmware
Perform rack integration
Bring up network fabrics
Validate network fabrics
Configure network connectivity
Validate network connectivity
Validate GPU performance
Validate node performance
Troubleshoot hardware issues
Troubleshoot firmware issues
Troubleshoot fabric issues
Contribute to automation
Improve deployment playbooks
Improve documentation
Identify reliability issues
Drive corrective actions
Turn ad hoc deployments into repeatable systems
Work with networking teams
Work with systems software teams
Work with data center teams
Coordinate with vendors
Support capacity expansion
How You'll Work.
Team & Collaboration
Cross-functional collaboration; Work with networking; Work with systems software; Work with data center teams; Coordinate with hardware vendors
Full Job Description
. Senior 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 Senior 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 Collaboration Work
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