Massachusetts Institute of Technology
Senior HPC Systems Engineer
Massachusetts Institute of Technology, Cambridge, Massachusetts, us, 02140
Posted on 12/3/2025.
HPC SYSTEMS ENGINEER The Massachusetts Green High Performance Computing Center (MGHPCC) seeks an HPC Systems Engineer 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.
Responsibilities
Deploy, maintain, and optimize HPC clusters, storage systems, and networking for AI/ML workloads.
Assist with high-performance storage systems such as VAST, Lustre, or GPFS.
Provide system monitoring, troubleshooting, automation, and performance optimization.
Support end-users in technical research environments.
Qualifications
Solid track record in HPC systems administration/engineering with hands-on experience in 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.
Experience supporting end-users in technical research environments.
Preferred Experience
Familiarity with GPU computing.
Scripting in Python or Bash.
Container orchestration tools like Docker and Kubernetes.
Experience in cloud-based HPC or AI/ML workloads.
#J-18808-Ljbffr
HPC SYSTEMS ENGINEER The Massachusetts Green High Performance Computing Center (MGHPCC) seeks an HPC Systems Engineer 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.
Responsibilities
Deploy, maintain, and optimize HPC clusters, storage systems, and networking for AI/ML workloads.
Assist with high-performance storage systems such as VAST, Lustre, or GPFS.
Provide system monitoring, troubleshooting, automation, and performance optimization.
Support end-users in technical research environments.
Qualifications
Solid track record in HPC systems administration/engineering with hands-on experience in 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.
Experience supporting end-users in technical research environments.
Preferred Experience
Familiarity with GPU computing.
Scripting in Python or Bash.
Container orchestration tools like Docker and Kubernetes.
Experience in cloud-based HPC or AI/ML workloads.
#J-18808-Ljbffr