The XPRIZE Foundation is seeking a leader for the Energy Efficient AI Prize, an ambitious upcoming global competition designed to accelerate breakthroughs in dramatically reducing the energy intensity and carbon footprint of artificial intelligence infrastructure and computation. As AI scales to solve humanity’s greatest challenges, its underlying infrastructure is driving an unsustainable exponential curve in global power demand. Data center energy needs could consume a significant portion of globally generated electricity within the coming decades if current trends continue. The goal of this prize is to decouple the advancement of AI from massive carbon footprints and grid-destabilizing power consumption. The Energy Efficient AI XPRIZE is a 12-15 month global competition designed to demonstrate a 10x reduction in the energy consumption required for AI inference (i.e., “Less watts per correct thought”). Another way to look at this goal is 10x greater “cognitive efficiency” per unit power. The Prize is method agnostic; it aims to catalyze innovations across AI model efficiency, compute optimization, cooling systems, hardware acceleration, data center architecture, software optimization, energy-aware training and inference, and other transformative approaches. Claims of 10X or greater energy-efficiency will be measured against a baseline that represents today’s state-of-the-art methods, with a 500M-1B parameter open-source model and commercial-off-the-shelf hardware. The Technical Prize Director, reporting to the Domain Lead, is a deep subject matter expert in AI infrastructure, model deployment and testing, and is responsible for the overall operations and management of the Prize competition, including coordination of operations, team relations, marketing, contract negotiations, partnerships, technical validation, and budget oversight. This individual will be responsible for all aspects of prize operations, ensuring that the competition's rigorous scientific metrics are flawlessly executed. They will serve as the primary architect of the competition's operational lifecycle, managing a complex ecosystem of tech giants, benchmarking consortiums, data science platforms, and global competitors. They must also be able to clearly communicate highly technical concepts to non-technical stakeholders, executives, sponsors, media, and the public, while serving as a respected and credible representative of the Prize within the global AI, energy and technology communities.
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Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree