5-7 years of hands-on experience with GPU or ASIC compute infrastructure deployment at scale.
Proven leadership in data-center engineering and operations teams.
Strong technical knowledge in power, cooling, and networking for high-density AI compute.
Willingness to engage in hands-on work as part of a small team.
Ability to work quickly to meet tight deployment timelines.
Responsibilities
Lead the end-to-end deployment of ASIC compute clusters, including hardware installation and commissioning.
Manage data-center engineering operations for power, cooling, and network infrastructure.
Set and maintain deployment timelines and quality standards across multiple sites.
Translate technical requirements for power and cooling into specifications for site sourcing.
Oversee vendor relationships for hardware and commissioning services.
Build and lead a deployment and operations team as the company scales.
Benefits
Opportunity to lead innovative projects in a rapidly growing field.
Work in a hands-on, dynamic environment with a small, agile team.
Direct impact on the company's infrastructure and operational success.
Engagement with cutting-edge technology in AI compute.
Full Job Description
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.
