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.

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.

• 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 (Infini Band, 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.

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 (Infini Band, 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.

• 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.

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