Head of Data Center Deployment
Listed on 2026-10-18
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IT/Tech
Systems Engineer, Hardware Engineer
About Us
We are the first AI inference neocloud, using ASIC compute to generate tokens 5-7× faster than existing GPU-based competitors. We just closed an oversubscribed seed round and quadrupled our compute allocation to $97M. Multiple lender conversations are live on a $200M asset-backed equipment facility.
About the roleGeneral Compute is seeking a leader to own the physical build-out of our ASIC compute infrastructure - from delivered hardware to production-ready cluster, and everything it takes to keep it running once it's live.
What you'll do:Cluster Deployment: Own hands-on deployment of ASIC compute clusters end-to-end: oversee hardware install, rack-and-stack, cabling, power-up, and commissioning through to production readiness.
Facility Engineering & Operations: Lead data-center engineering operations - power, cooling, and network infrastructure - for every site we bring online, and keep it running once it's live.
Deployment Program Ownership: Set and own deployment timelines and quality bar across sites. Commissioning, testing, and punch-list - you close it out.
Technical Partner to Site Sourcing: Translate cluster power density, cooling, and network requirements into technical specs for the team sourcing power and colocation capacity - you don't own the deal, but you own whether the site can actually run our hardware.
Vendor Management: Oversee relationships with hardware vendors, remote-hands providers, and commissioning contractors on the technical side of delivery.
Team Building: Build and lead the deployment and ops team as our physical footprint scales.
Direct, hands-on experience deploying or commissioning GPU or ASIC compute infrastructure at scale - at a compute infrastructure company (Core Weave, Crusoe, Lambda, Nvidia, a hyperscaler, or similar) or as a senior data-center operations leader.
Track record leading data-center engineering and operations teams: commissioning, facility engineering, cluster bring-up, and steady-state reliability.
Technical fluency in power, cooling, and networking as they relate to high-density AI compute.
Comfortable being hands-on early - this is a builder role on a small team, not a steady-state operations seat.
Ability to move fast - "first cluster online in the next few months."
Direct communication style and willingness to do hands-on physical infrastructure work personally when needed.
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