Senior High Performance Computing System Administrator
Yale University
New Haven, Connecticut, United States
Base: $90,000.00 - $165,750.00; bonus/equity: not ...
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Gpu accelerator expertise for ai
Hpc linux cluster administration
Infiniband and high-speed ethernet
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Yale University is seeking a Senior High Performance Computing System Administrator to enhance its AI-focused research infrastructure. This hybrid position entails overseeing the administration of HPC systems, with a focus on GPU infrastructure, ensuring support for faculty and students in their research endeavors.
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Job Summary
The role focuses on leading the system design, deployment, and support of Yale's AI-focused research cluster and storage infrastructure to propel discovery and scholarship.
Candidates must possess deep expertise in accelerator-based memory, precision, interconnects, power consumption, and cost tradeoffs within a hybrid work model requiring on-site presence.
This position involves frequent interaction with researchers and team members to diagnose system issues, manage user lifecycles, and stay current on evolving HPC technologies.
Matching Summary
Match Score: 75
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Yale University is seeking a Senior High Performance Computing System Administrator to enhance its AI-focused research infrastructure. This hybrid position entails overseeing the administration of HPC systems, with a focus on GPU infrastructure, ensuring support for faculty and students in their research endeavors.
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Salary
Base: $90,000.00 - $165,750.00; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
GPU accelerator expertise for AI
HPC Linux cluster administration
InfiniBand and high-speed Ethernet
Parallel file systems GPFS or Lustre
Linux system administration and security
Automation scripting capabilities
Nice-to-have
Multi-node GPU system tuning
Custom HPC provisioning design
Research environment support experience
Data center hardware installation
Professional certifications in HPC
Graduate degree in related field
Key Requirements
Bachelor's Degree in related field
Minimum six years of related work experience
Experience with large-scale parallel storage systems