Technical Prize Director, Energy Efficient AI in United States at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Technical Prize Director, Energy Efficient AI based in United States.

This is a high-impact leadership role at the intersection of artificial intelligence, energy systems, and global innovation challenges. You will architect and oversee a large-scale international competition designed to drastically reduce the energy consumption of AI systems while accelerating breakthrough technologies. The role blends deep technical expertise with program leadership, bringing together researchers, industry leaders, and sponsors around a shared scientific mission. You will define rigorous benchmarking and validation frameworks that measure real-world AI energy efficiency at scale. Operating in a highly cross-functional and global environment, you will ensure flawless execution of competition operations from design to final evaluation. This position also serves as a public-facing authority for the prize, translating complex AI infrastructure concepts into accessible insights for diverse stakeholders. It is an opportunity to directly shape the future of sustainable computing and AI systems.

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

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 academic, research, or industry settings
• Strong expertise in AI model deployment, inference optimization, benchmarking frameworks, or energy-efficient computing systems
• Experience with large-scale AI systems, including LLM inference pipelines, model evaluation, or distributed compute environments
• Strong understanding of AI infrastructure components such as hardware acceleration, cooling systems, cloud platforms, and system optimization
• Proven ability to lead complex, multidisciplinary technical initiatives in fast-moving, ambiguous environments
• Excellent communication skills with the ability to translate highly technical concepts for non-technical stakeholders and executive audiences
• Strong stakeholder management skills across researchers, industry partners, sponsors, and cross-functional teams
• Experience in public speaking, technical storytelling, or external representation of technical programs is highly valued
• Strong analytical thinking, operational discipline, and ability to manage competing priorities at scale

• Remote-first work environment (U.S.-based role) with periodic in-person gatherings and events
• Comprehensive medical, dental, and vision insurance coverage
• 401(k) retirement plan with employer match
• Generous paid time off including vacation, holidays, and sick leave
• Paid parental leave and family support benefits
• Employee assistance and wellbeing programs
• Stipends for home office, internet, wellness, and learning & development
• Exposure to global partners, leading researchers, and frontier AI infrastructure challenges
• Opportunity to contribute directly to high-impact innovation addressing global sustainability challenges