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Compute Infrastructure Engineer at Schmidt Sciences | New York

Schmidt SciencesNew York, NY
On-site Full-time

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Experience Level

Experience

Qualifications

Expertise in computer infrastructure and system design, with a focus on AI applications. Proficiency in programming languages such as Python, Java, or C++. Experience with cloud computing platforms and high-performance computing environments. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Familiarity with scientific research methodologies is a plus.

About the job

Schmidt Sciences is a nonprofit organization established in 2024 by Eric and Wendy Schmidt, dedicated to accelerating scientific advancements and breakthroughs using cutting-edge tools to promote a sustainable planet. The organization emphasizes research in impactful fields such as AI and advanced computing, astrophysics, biosciences, climate science, and space exploration while also supporting a diverse array of researchers through its science systems program.

About the AI & Advanced Computing Institute (“AI Institute”)
 
The AI Institute at Schmidt Sciences operates as a grantmaking and research entity that recognizes AI as a pivotal driver for scientific discovery and societal advancement. Over the upcoming decade, we aim to empower leading researchers focused on enhancing AI systems to be competent, trustworthy, and reliable partners for scientists in groundbreaking discoveries. Our investments will target beneficial AI domains where philanthropy can make a significant difference. By fostering enabling infrastructure, fundamental research, and specialized scientific programs, the AI and Advanced Computing Institute will cultivate an environment where AI-enabled discoveries can thrive.
 
The AI Institute currently concentrates on three core areas:

AI for Science – Utilizing AI to enhance the scientific process, including hypothesis generation, experimental execution, data analysis, and knowledge production, all aimed at accelerating discovery. Key initiatives include exploring post-transistor hardware for AI and AI applications in scientific simulation.
Science of AI – Investigating and managing AI systems to address potential risks associated with advanced AI. This includes improving AI reliability and performance in less commercially viable areas. Current programs comprise AI2050 and Science of Trustworthy AI, with explorations into AI interpretability and multi-agent communication evolution.
Beneficial AI – Establishing scientific foundations and datasets to comprehend the broader societal impacts of AI. This encompasses high-impact grantmaking initiatives, such as leveraging AI to expedite humanities research (Humanities and AI Virtual Institute) and assessing AI's impact on the labor market (AI@Work).
 
These initiatives are interconnected with other Schmidt Sciences efforts, like the Virtual Institute for Scientific Software (VISS), which aims to enhance the pace of scientific discovery through the development and support of high-quality, community-focused scientific software.

About Schmidt Sciences

Schmidt Sciences is dedicated to fostering scientific breakthroughs for a sustainable future. By supporting innovative research in AI, advanced computing, and other critical fields, we aim to empower scientists and researchers to make meaningful contributions to our understanding of the world.

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