Overview
On Site
Full Time
Skills
High Performance Computing
Computer Networking
System Administration
Linux
Data Storage
IBM GPFS
System Monitoring
Performance Tuning
Research
GPU Computing
Scripting
Python
Bash
Orchestration
Docker
Kubernetes
Cloud Computing
HPC
Artificial Intelligence
Machine Learning (ML)
Job Details
Posting 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.
The full job description is available at
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.
12/3/2025
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.
The full job description is available at
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.
12/3/2025
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