Solutions Architect, Scientific GPU Compute

The AI Center is a grantmaking and research group that views AI as a transformative force for scientific discovery and societal progress. Over the next decade, we aim to support key researchers who are working to make AI systems competent, trustworthy, reliable, and able to effectively partner with human scientists on the next generation of discovery.  We will also make distinctive investments in beneficial AI areas where philanthropy has a unique advantage.  By supporting enabling infrastructure, foundational research, and targeted programs in science disciplines, the AI Center will create the conditions for AI-enabled discovery to achieve its promise.

The AI Center currently has three focus areas:

1. AI for Science – using AI to improve how scientists generate hypotheses, conduct experiments, analyze data, and produce new knowledge – and do this in a way that specifically accelerates the discovery process.  
2. Science of AI – understanding and controlling AI systems to mitigate and manage potential risks from advanced AI.  Improve AI reliability and performance in areas of limited commercial interest.  
3. Beneficial AI – providing scientific foundations and datasets for understanding the larger human impacts of AI.  

These programs support and draw on related Schmidt Sciences engagements, such as the Virtual Institute for Scientific Software (VISS), which seeks to accelerate the pace of scientific discovery through the support and development of high-quality, community-oriented scientific software.  These philanthropic efforts support experienced engineers who are tasked with building open-source infrastructure and applications for multi-disciplinary, high-performance, at-scale scientific discovery.

We are seeking a technical advisor to bridge the gap between cutting-edge scientific research and high-performance computing (HPC) infrastructure. In this role, you will serve as the primary strategic liaison for Schmidt Sciences-funded researchers globally, working across all scientific disciplines—including climate, synthetic biology, astrophysics, AI & advanced computing—to accelerate discovery through advanced compute resources. You will be responsible for evaluating the complex GPU and AI/ML needs of world-class researchers, and leading the technical onboarding process to ensure their initiatives are successfully deployed on a wide range of compute platforms. This role reports to the director of the AI Institute at Schmidt Sciences. Over time, this role may have direct reports.