Senior HPC Systems Engineer

The Massachusetts Green High Performance Computing Center Inc; Holyoke, Northern (MA, KY); Hybrid; USD 120,000 - 163,000; Full time

Job summary

The Massachusetts Green High Performance Computing Center Inc. in Holyoke, MA is seeking an HPC Systems Engineer to lead deployment, maintenance, and optimization of HPC clusters, storage systems, and networking for AI/ML workloads.

This hands-on role collaborates with researchers and engineers to ensure secure, efficient, and reliable infrastructure. Responsibilities include installing, configuring hardware/software, monitoring performance, backing up data, and developing documentation.

Qualifications

• Bachelor's degree in CS/Engineering or related field.
• Minimum 7 years of relevant experience.
• Proven HPC System Engineer experience in HPC environments.
• Deep knowledge of HPC architectures, Linux/Unix, cluster management.
• Experience with MPI, job schedulers, and batch systems.
• Storage expertise (Lustre/GPFS) and network file systems.
• Containerization/virtualization (Docker, Kubernetes).
• Strong troubleshooting skills.
• Excellent communication with technical and non-technical stakeholders.

Responsibilities

• Manage infrastructure, support, maintenance, and operations of systems, hardware, and software.
• Install, configure, and maintain HPC hardware and software, including clusters, storage systems, and job schedulers.
• Monitor system performance, identify bottlenecks, and implement optimizations to improve efficiency and resource utilization.
• Provide technical support to end-users, including troubleshooting hardware and software issues.
• Perform system backups and disaster recovery procedures to ensure data integrity and availability.
• Develop and maintain system documentation, including installation guides, configuration files, and standard operating procedures.
• Assist in the design and deployment of scalable HPC environments to meet the needs of scientific and engineering applications.
• Collaborate with teams to identify and implement software and hardware upgrades.
• Ensure security of HPC systems by applying patches, configuring firewalls, and performing regular audits.
• Conduct performance benchmarking, diagnostics, and capacity planning to keep systems up to date with evolving needs.
• Perform other duties as required.

Skills

HPC architectures

Linux/Unix

Cluster management

MPI / parallel programming

Job schedulers

Storage systems

Docker / Kubernetes

Python / Bash / Perl

Networking tools

Troubleshooting

Communication skills

Cloud HPC (AWS/GCP)

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Nagios

Prometheus

Job description

Support the computing infrastructure behind the AI Computing Resource (AICR) that supports the Massachusetts AI Hub. 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.

Pay Range

$120,440 - $163,200

Position Overview

As a technical leader, the HPC Systems Engineer will manage and optimize high-performance computing environments, ensuring the smooth operation of complex clusters, and providing excellent support to end-users. Responsible for the installation, configuration, maintenance, and troubleshooting of HPC systems and infrastructure. Collaborate with researchers, engineers, and other IT professionals to ensure the HPC environment is secure, efficient, and reliable.

Principal Responsibilities

• Manage infrastructure, support, maintenance, and operations of systems, hardware, and software.

• Install, configure, and maintain HPC hardware and software, including clusters, storage systems, and job schedulers.

• Monitor system performance, identify bottlenecks, and implement optimizations to improve efficiency and resource utilization.

• Provide technical support to end-users, including troubleshooting hardware and software issues.

• Perform system backups and disaster recovery procedures to ensure data integrity and availability.

• Develop and maintain system documentation, including installation guides, configuration files, and standard operating procedures.

• Assist in the design and deployment of scalable HPC environments to meet the needs of scientific and engineering applications.

• Collaborate with teams to identify and implement software and hardware upgrades.

• Ensure security of HPC systems by applying patches, configuring firewalls, and performing regular audits.

• Conduct performance benchmarking, diagnostics, and capacity planning to keep systems up to date with evolving needs.

• Perform other duties as required.

Supervision Received

• This position reports to the Executive Director, AI Computing Resource (AICR)

Supervision Exercised

• None

Employment Type

• Full-Time, Hybrid (primarily remote with occasional on-site)

Qualifications & Skills

Required

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent work experience).

• Minimum 7 years relevant experience required.

• Proven experience as an HPC System Engineer or similar role in high-performance computing environments

• In-depth knowledge of HPC architectures, Linux/Unix operating systems, and cluster management tools.

• Experience with parallel programming, MPI, job schedulers, and batch processing systems.

• Strong knowledge of storage systems (e.g., Lustre, GPFS) and network file systems.

• Experience with containerization and virtualization technologies (e.g., Docker, Kubernetes).

• Strong troubleshooting skills

• Excellent communication skills, with the ability to interact with technical and non-technical stakeholders.

Preferred

• Experience with cloud-based HPC environments (e.g., AWS, Google Cloud).

• Familiarity with GPU-based computing and relevant software (e.g., CUDA).

• Knowledge of programming languages such as Python, Bash, or Perl.

• Experience with monitoring and alerting tools (e.g., Nagios, Prometheus).

• Experience with networking and network management tools