Senior Systems Engineering

Senior Systems Engineer
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 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.
You will be in the details—cabling racks, validating firmware, tuning fabrics, debugging performance—and helping us build repeatable processes as we scale.
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).
Improve deployment playbooks and documentation.
Help turn ad hoc deployments into repeatable systems.
Work closely with networking, systems software, and data center teams.
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.

Automation experience (Python, Ansible, Terraform, Bash).
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.