Deployment Engineer (AI Infrastructure)

Location: Remote (US) with on-site deployment work and travel up to 50%; San Francisco, CA

Company

hirify.global is a market and infrastructure platform for buying, selling, and operating compute, connecting AI labs and compute providers with fragmented GPU capacity, capital, and operational infrastructure.

What you will do

• Run large-scale GPU cluster builds from hardware delivery through ready-for-service acceptance.
• Receive equipment, rack and stack systems, cable infrastructure, power on hardware, manage firmware, perform burn-in, and conduct acceptance testing.
• Direct integrators and contractors against the build plan and manage daily on-site execution.
• Inspect installations against design requirements, own punch lists, and close issues before acceptance.
• Produce documentation and as-built records, then hand over validated clusters to operations.
• Create deployment runbooks and checklists that improve subsequent builds.

Requirements

• Production experience deploying GPU servers or clusters in data centers.
• Experience with Linux, BMC and Redfish, firmware management, and hardware diagnostics.
• Experience commissioning direct liquid-cooled racks.
• Ability to run a site without close supervision and escalate issues early.
• Ability to spend periods on site and travel up to 50%.

Nice to have

• Experience bringing up rack-scale systems such as GB200 or GB300 NVL72.
• Scripting experience for provisioning, burn-in, and inventory.
• Experience delivering large builds at an OEM or systems integrator.

Culture & Benefits

• End-to-end ownership of cluster builds from crates to production.
• Opportunity to shape the deployment playbook during the first builds.
• High-trust environment with high talent density.
• Comprehensive benefits for employees and dependents, including healthcare, dental, and vision coverage.
• 401(k) and unlimited PTO.