Head of Data Center Deployment

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 role

General 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.

What we need from you:

• Direct, hands-on experience deploying or commissioning GPU or ASIC compute infrastructure at scale — at a compute infrastructure company (CoreWeave, 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.