Schmidt Sciences
nonprofit
SolutionsArchitect,ScientificGPUCompute
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“Solutions Architect, Scientific GPU Compute at Schmidt Sciences. Skills: Solutions Architecture, Scientific GPU Compute, AI/ML Infrastructure, HPC, Cloud Computing, Technical Advisory, Cross-Disciplinary Communication. Serve as a technical and strategic advisor to Schmidt leadership and principal investigators. Conduct deep-dive technical consultations with academic labs and other research organizations”
What You'll Achieve.
accelerate discovery through advanced compute resources; ensure their initiatives are successfully deployed on a wide range of compute platforms; maximize scientific impact; drive the continuous improvement of compute services and research tools; accelerating time from grant approval to first result for computationally intensive projects
Industry & Context.
translate scientific goals into specific GPU, AI/ML, and HPC and cloud requirements; align their research proposals and research activities with the available compute resources to maximize scientific impact; critically evaluate scientific and technical publications and emerging methods
Be able to travel within the U. S. on a regular basis as needed
What They're Looking For.
Must Have
8+ years of combined experience spanning AI/ML infrastructure and research-facing technical experience building networks across academic, nonprofit, or government research, Hands-on experience with cluster workload management using Slurm and Kubernetes, Understanding of the tech stack needed to design, train, deploy, and maintain state-of-the-art AI models at a production scale, Experience producing technical writing for expert and general audiences
Nice to Have
PhD in a technical field such as computer science, biology, climate, astrophysics, or a related computational science, Proven track record of supporting large-scale, federally funded, or private scientific grant proposals, In-depth knowledge of data center storage and networking technologies and solutions, Proficiency with modern machine-learning hosting software frameworks, such as NVIDIA Dynamo, TensorFlow Serving, Ray, etc., Prior leadership of data center infrastructure initiatives and projects, such as evaluating hardware scalability, securing data, or executing large-scale upgrades, Expertise in relevant technical focus areas, e. g. , AI model performance monitoring or network and storage optimization, etc., Expert-level experience and industry credentials in the software and hardware frameworks that drive modern AI, and competence in at least one, and preferably multiple, fields of science impacted by modern AI, Ability to work with and effectively translate technical concepts across multiple scientific disciplines, Ability to critically evaluate scientific and technical publications and emerging methods in related disciplines, Experience working with science-focused institutions such as philanthropic organizations or academic/government research institutions
What You'll Do.
Serve as a technical and strategic advisor to Schmidt leadership and principal investigators
Conduct deep-dive technical consultations with academic labs and other research organizations
Translate scientific goals into specific GPU
and HPC and cloud requirements
Lead the end-to-end onboarding of research teams and grantee institutions onto the Schmidt Sciences compute infrastructure
Provide comprehensive training to boost cloud and compute proficiency of users
Act as a 'Proposal Concierge
' helping grantees align their research proposals and research activities with available compute resources
Deliver critical field insights from researchers to internal product and engineering teams
How You'll Work.
Team & Collaboration
Serve as a technical and strategic liaison for Schmidt Sciences-funded researchers globally; Work across all scientific disciplines; Collaborate with internal product and engineering teams; History of collaborative impact in high-intensity, team-based environments
Communication Scope
Exceptional ability to communicate complex technical and scientific concepts to both high-impact research scientists and executive leadership
Process & Methodology
driving work to completion
Full Job Description
## Description Schmidt Sciences is a nonprofit organization founded in 2024 by Eric and Wendy Schmidt that works to accelerate scientific knowledge and breakthroughs with the most promising, advanced tools to support a thriving planet. The organization prioritizes research in areas poised for impact including AI and advanced computing, astrophysics, biosciences, climate, and space—as well as supporting researchers in a variety of disciplines through its science systems program. About the AI & Advanced Computing Center (“AI Center”) 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: 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. 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. 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
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