Co-founder & CTO — GPU Compute Exchange

Co-founder & CTO — GPU Compute Exchange

Location:

Europe (strongly preferred); exceptional candidates in the United States considered

Timing:
As soon as possible, ideally joining while the seed round is in process

Company: (name confidential)

The opportunity

My Client is building an exchange for idle AI compute. The AI build-out is creating a very large pool of GPU capacity that is paid for but under‑used: take‑or‑pay contracts bill every GPU‑hour, while most enterprises running their own GPUs report using half of that capacity or less. The Company pools idle GPUs from neoclouds, data centers, GPU funds and lenders into one cloud and sells the hours on demand.

It then adds managed services, sells each GPU many times over as per‑token inference outcomes, and builds towards price data and trading on the resulting flow.

The hardest part is already built. The Company runs on a production‑proven, multi‑tenant GPU cloud stack developed over eight years and two full rewrites. The stack has served more than 5,000 B2B accounts, runs AMD, NVIDIA and Intel accelerators in production, and has been licensed to a neocloud that launched at a $2.4bn valuation, passing NVIDIA’s technical diligence along the way.

The stack’s IP is being assigned to The Company, which will own all new development.

My Client is backed by an established European technology holding that has operated compute infrastructure through several boom‑and‑bust cycles for more than a decade (over 1 GW operated). The company is raising a seed round to fund the engineering team. We are looking for a technical co‑founder to own the platform, turn the existing stack into the exchange and build the engineering team.

• Own the technology vision and product roadmap across the four stages of the business (aggregate, manage, outcomes, trade), with each stage live and earning revenue before the next one starts.
• Get aggregation live within 3-6 months of the seed closing: a fast, repeatable way to onboard third‑party GPU clusters into one cloud across sites and GPU generations (e.g. H100, H200, B200, MI300), without owning the hardware.
• Extend multi‑tenancy from within a single cluster to across sites, so that capacity from many suppliers appears to buyers as one cloud behind one API.
• Finish and launch managed services on partner hardware: managed Slurm and Kubernetes, storage, support and SLAs.
• Build the outcomes layer: serverless inference sold per token, with one scheduler across GPU generations and safe sharing of each GPU among many buyers. This over subscription model is at the core of The Company’s economics.
• Lay the technical foundations for metering, pricing and utilization data that will later support a compute price index and hedging products.
• Harden the existing codebase in the first six months, addressing known technical debt, and lead security and compliance, including SOC 2.
• Validate the technical differentiation early: identify where suppliers and buyers get measurably better economics or service from Company X than from existing GPU marketplaces and inference providers, and turn that into product decisions.
• Work directly with suppliers (neoclouds, data center operators, GPU funds and lenders) and buyers (AI‑native companies, enterprises, resellers) to translate their needs into the roadmap.
• Hire and lead an engineering team of 10-15 people over the first two years, and set the technical operating model.
• Represent The Companys technology in the seed and later funding rounds, and work with the CEO on fundraising, partnerships and company planning.

The Company’s stack is a general‑purpose, multi‑tenant IaaS and PaaS platform written for accelerated compute. It was built for public, self‑service cloud use rather than…