TechnicalPrizeDirector,EnergyEfficientAI

## Accountabilities Lead the end-to-end design, execution, and operational management of a global AI energy efficiency competition, ensuring alignment with scientific rigor, strategic goals, and stakeholder expectations. Responsibilities include: Overseeing the full lifecycle of the prize, including planning, execution, testing protocols, milestones, and operational delivery across global participants Defining and managing technical measurement frameworks to evaluate AI energy efficiency, computational performance, scalability, and real-world applicability Establishing rigorous benchmarking systems, including “at-the-wall” power measurement protocols and standardized evaluation environments Managing judging processes, evaluation criteria, and advisory coordination to ensure impartial, transparent, and scientifically valid outcomes Leading the development of leaderboards, verification pipelines, and transition frameworks between remote and on-site evaluation stages Overseeing budget allocation, resource planning, operational controls, and cost governance for large-scale program execution Engaging and coordinating with researchers, industry partners, sponsors, and technical experts across AI, infrastructure, and energy domains Serving as a public-facing ambassador through events, conferences, media engagements, and global outreach initiatives Ensuring cross-functional alignment across internal teams including engineering, partnerships, marketing, operations, and executive leadership Requirements This role requires a senior technical leader with deep expertise in AI systems, infrastructure, or energy-efficient computing, combined with strong program leadership and communication skills. Ideal qualifications include: Advanced degree (PhD preferred) in Computer Science, Electrical Engineering, AI/ML, Energy Systems, Physics, or a related technical field 7+ years of experience in AI infrastructure, high-performance computing, data center systems, or model optimization in a