Head of GPU Supply – Partnerships

Posted 1 day ago

This is a fully remote position, open to applicants in California.

📋 Description

• Develop the GPU acquisition strategy in collaboration with leadership, encompassing platforms, volumes, timelines, and targeted economics per GPU-hour.

• Establish supply through partnerships with NVIDIA allies, OEMs, ODMs, distributors, and secondary-market vendors.

• Secure GPU allocations and achievable delivery timelines.

• Negotiate and finalize purchase agreements, addressing price, lead times, payment conditions, warranty, RMA, and support.

• Organize hardware financing with the finance team, including vendor financing, leasing, and GPU-backed debt.

• Forge deployment partnerships with colocation and power suppliers, networking providers, and system integrators.

• Investigate capacity and offtake agreements with neoclouds and AI enterprises.

• Oversee logistics, delivery, acceptance testing, and adherence to export-control regulations.

• Monitor GPU pricing, availability, new generations, and resale values, providing leadership with timing recommendations.

• Expand the function into a team as the business grows.


⛳️ Requirements

• Over 5 years of experience in GPU or server hardware procurement, supply chain management, or hardware partnerships within a neocloud, GPU cloud provider, hyperscaler, OEM/ODM, distributor, or AI infrastructure company.

• A proven history of purchasing data-center GPUs in large quantities (H100, H200, B200, GB200, or similar).

• Direct relationships with NVIDIA partners, OEMs, ODMs, or major distributors.

• Excellent negotiation abilities for complex supply contracts: pricing, delivery, warranty, and payment terms.

• Strong understanding of GPU economics, including CAPEX, cost per GPU-hour, utilization, depreciation, and resale value.

• Capability to work independently and swiftly in a startup-like atmosphere.

• Proficient in English.

• Experience with GPU financing options: leasing, asset-backed debt, and vendor financing (preferred).

• Familiarity with colocation, power, or data center partnerships (preferred).

• Knowledge of export control regulations concerning AI chips (preferred).

• Background in Bitcoin mining or other energy-intensive infrastructures (preferred).

• A network within the San Francisco Bay Area AI ecosystem (preferred).


🏝️ Benefits

• Professional development: support for courses, conferences, and English language learning (up to 100% coverage).

• Work-life balance: remote or hybrid work options with flexible hours across global teams.

• Paid time off: up to 20 vacation days + 8 company holidays + 5 personal days annually.

• Recognition initiatives: structured performance evaluations and team awards.

• Team culture: retreats in international locations (e.g., company apartments in Cyprus).

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