Schmidt Sciences
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Solutions Architect, Scientific GPU Compute

Location
New York, NY · On-site
Job type
Full-time
Level
Director
Listed
30 days ago

Skills & highlights for this role

  • high-performance computing
  • GPU infrastructure
  • AI/ML systems
  • scientific computing

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 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.

The Role

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.

About Schmidt Sciences

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.

Read the original posting

From Schmidt Sciences's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

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Common questions

Where is the Solutions Architect, Scientific GPU Compute job at Schmidt Sciences located?

This Solutions Architect, Scientific GPU Compute position at Schmidt Sciences is located in New York, NY (On-site). Always check Schmidt Sciences's application page for specific state eligibility or relocation policies.

What qualifications are required for Solutions Architect, Scientific GPU Compute at Schmidt Sciences?

For the Solutions Architect, Scientific GPU Compute role, Schmidt Sciences highlights experience with high-performance computing, GPU infrastructure, AI/ML systems, scientific computing. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Solutions Architect, Scientific GPU Compute position at Schmidt Sciences?

This listing links directly to Schmidt Sciences's Lever application page. You can apply directly on Schmidt Sciences's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Lever application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.