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.

Job 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.