HPC SYSTEMS ENGINEER
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Job description
SENIOR HPC SYSTEMS ENGINEER, The Massachusetts Green High Performance Computing Center (MGHPCC), to support the computing infrastructure behind the Massachusetts AI Hub’s AI Computing Resource (AICR). This hands-on role will be responsible for deploying, maintaining, and optimizing HPC clusters, storage systems, and networking for AI/ML workloads. Join a collaborative, fast-paced team delivering critical infrastructure to some of the nation’s leading AI researchers.
Requirements
REQUIRED: Solid track record in HPC systems administration/engineering including hands-on experience with Linux-based cluster environments, job schedulers, and high-performance storage systems such as VAST, Lustre, or GPFS; strong skills in system monitoring, troubleshooting, automation, and performance optimization; and experience supporting end-users in technical research environments. PREFERRED: Familiarity with GPU computing; scripting in Python or Bash; and container orchestration tools like Docker and Kubernetes; and experience in cloud-based HPC or AI/ML workloads.
About the company
Working at MIT offers opportunities that just aren’t found anywhere else, including generous and unique benefits that help to ensure that MIT employees are healthy, supported, and enjoy a fulfilling work/life balance. Discover more about what it’s like to work at MIT.
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