Head of Data Center Deployment
General Compute
Head of Data Center Deployment
General Compute
ASIC-based AI inference cloud platform
General Compute is the neocloud for alternative chips.
Inference is fragmenting: purpose-built silicon from SambaNova, Cerebras, Positron, d-Matrix, and others already beats GPUs on decode, and we productionize that hardware — we buy the racks, find the data center space, and run it for our customers. Each piece of hardware runs the workload it's actually built for: prefill stays on GPUs, decode moves to the chip built for it, and today that means generating tokens 5–7× faster than existing GPU-based competitors. Our customers are frontier labs, fast-growing AI application companies, and asset-light clouds.
We closed a $15M seed round in May 2026, and have since closed a $400M debt facility — $100M funded upfront by Upper90, with the balance available for drawdown — collateralized by our inference chips.
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.
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 (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.
ASIC-based AI inference cloud platform
General Compute provides an inference cloud platform built on purpose-built AI accelerators (ASICs) to handle high-volume, latency-sensitive AI agent workloads. It uses specialized hardware that separates the prefill and decode stages of inference, allowing each stage to scale independently to match demand. Access is API-driven, enabling agents to sign up, obtain API keys, and run inference calls without human intervention, and the platform supports running open-source LLMs or customer models. Compared with GPU-centric clouds optimized for training, General Compute targets fast, low-latency inference and energy-efficient operation using hydroelectric-powered data centers with air-cooled hardware. Its goal is to deliver rapid token generation and scalable AI inference for applications like coding assistants, voice AI, and autonomous systems, through an ASIC-first “neocloud” designed for agent-oriented workloads.
Explore more opportunities at General Compute