Senior Systems Engineer

About the role

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. 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.

Responsibilities

• 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 closely with networking, systems software, and data center teams.
• Coordinate with hardware vendors to resolve bringup issues.
• Support rapid capacity expansion as we scale.

Requirements

• Required
• 5-8+ years in infrastructure engineering, hardware deployment, or data center operations.
• Hands-on experience deploying GPU 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.

Benefits

Additional Information

. Senior Deployment Engineer - GPU Infrastructure Bringup Location: United States (Travel Required) Team: Infrastructure Reports to: Head of Infrastructure

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Company Intel

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