Hiring: Solutions Architect, Scientific GPU Compute Company: Schmidt Sciences Location: New York, NY Job Posted Time: 2026-09-03 10:24:32 Target Skills & Keywords : Kubernetes, TensorFlow About the job Experience: •8+ years of combined experience spanning AI/ML infrastructure and research-facing technical advisory; experience building networks across academic, nonprofit, or government research is strongly preferred Required Skills: •Grantee Strategic Advisory: Serve as a technical and strategic advisor to Schmidt leadership and principal investigators across a diverse portfolio of scientific disciplines. •Compute Needs Assessment: Conduct deep-dive technical consultations with academic labs and other research organizations to translate scientific goals into specific GPU, AI/ML, and HPC and cloud requirements. •Technical Onboarding & Enablement: 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. •Resource Advocacy: Act as a "Proposal Concierge," helping grantees align their research proposals and research activities with the available compute resources to maximize scientific impact. •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. Qualifications: •Advanced Scientific Background: A post-graduate degree in a technical field such as computer science, biology, climate, astrophysics, or a related computational science •Computing Expertise: 8+ years of combined experience spanning AI/ML infrastructure and research-facing technical advisory; experience building networks across academic, nonprofit, or government research is strongly preferred •Cross-Disciplinary Communication: Exceptional ability to communicate complex technical and scientific concepts to both high-impact research scientists and executive leadership. •Applied hands-on capability in cluster workload management using Slurm and Kubernetes. •Successful track record of accelerating time from grant approval to first result for computationally intensive projects. •History of collaborative impact in high-intensity, team-based environments. •Sense of controlled urgency in driving work to completion. •The highest integrity and ability to maintain confidentiality. •Be able to travel within the U.S. on a regular basis as needed. •Understanding of the tech stack needed to design, train, deploy, and maintain state-of-the-art AI models at a production scale. Compensation: •$180,000 - $250,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!