Schmidt Entities

Solutions Architect, Scientific GPU Compute

New York, NY

Sponsorship not specified$180k-$250kDetected 85 days ago

Machine LearningTensorFlowOnboardingResearchLeadershipCommunicationWriting

About the role

We are seeking a technical advisor to bridge the gap between cutting-edge scientific research and high-performance computing (HPC) infrastructure.
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.

Feedback Loop: Deliver critical field insights from researchers to internal product and engineering teams to drive the continuous improvement of compute services and research tools.
The highest integrity and ability to maintain confidentiality.
Understanding of the tech stack needed to design, train, deploy, and maintain state-of-the-art AI models at a production scale.
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.

Lead the end-to-end onboarding of research teams and grantee institutions onto the Schmidt Sciences compute infrastructure, and provide comprehensive training to boost cloud and compute proficiency of our users.
A post-graduate degree in a technical field such as computer science, biology, climate, astrophysics, or a related computational science
Hands-on experience with cluster workload management using Slurm and Kubernetes.
Successful track record of accelerating time from grant approval to first result for computationally intensive projects.
Experience producing technical writing for expert and general audiences.
In-depth knowledge of data center storage and networking technologies and solutions.
Expertise in relevant technical focus areas, e.g., AI model performance monitoring or network and storage optimization, etc.
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.

8+ years of combined experience spanning AI/ML infrastructure and research-facing technical advisory
Computing Expertise: 8+ years of combined experience spanning AI/ML infrastructure and research-facing technical advisory
Preferred Knowledge, Skills, and Abilities:

PhD in a technical field such as computer science, biology, climate, astrophysics, or a related computational science
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.

Proficiency with modern machine-learning hosting software frameworks, such as NVIDIA Dynamo, TensorFlow Serving, Ray, etc.

This listing is sourced directly from Schmidt Entities's careers page and normalized into a canonical job model.