Senior Manager, HPC Engineering

massgeneralbrigham; Somerville (MA); On-site; USD 180,000 - 240,000; Full time

Job summary

Mass General Brigham is seeking a Senior Manager of HPC Engineering to lead the engineering, architecture, reliability, and ongoing evolution of a high-performance computing platform supporting data-intensive biomedical research. The role partners with the HPC Researcher Experience team to ensure reliability, security, and scalability while maturing services like data adjacency and enclave computing.

You will manage vendor relationships, drive automation, and oversee change management, incident

Responsibilities

• Own the technical strategy, operating model, reliability, and continuous improvement of the HPC platform, including compute, storage, networking, operating systems, configuration, software, automation, monitoring, and operational standards.
• Own the HPC platform architecture and technical roadmap, ensuring that compute, storage, networking, software, automation, security, data adjacency, enclave capabilities, and operational capabilities evolve to meet current and future research needs.
• Lead engineering activities for HPC hardware, GPU and CPU compute nodes, high-speed interconnects, storage systems, network connectivity, operating system images, firmware, drivers, configuration management, and platform lifecycle management.
• Own the scientific computing software environment, including schedulers, modules, containers, compilers, libraries, researcher applications, Open OnDemand, and other tools required to support data-intensive biomedical research workloads.
• Own workload management practices for the HPC environment, including scheduler configuration, queues, partitions, job policies, GPU and CPU allocation, fair-share models, utilization optimization, and performance tuning.
• Lead benchmarking and performance engineering practices, including workload profiling, bottleneck analysis, system tuning, baseline benchmark development, vendor performance validation, and evaluation of emerging technologies to improve platform performance and researcher productivity.
• Lead capacity planning and platform lifecycle planning, including utilization forecasting, hardware refresh planning, storage growth analysis, procurement input, and recommendations for future platform investments.
• Own change, release, and configuration management practices for the HPC platform, ensuring that system updates, software deployments, security patches, configuration changes, and maintenance activities are planned, tested, documented, and communicated.
• Establish engineering practices for platform resilience and operational continuity, including backup and recovery coordination, maintenance planning, runbooks, recovery procedures, change controls, and incident readiness.
• Develop and mature automation for user provisioning, storage provisioning, access controls, environment configuration,

Job description

Site: Mass General Brigham Incorporated

Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.

Mass General Brigham Digital supports the clinical, operational, research, and academic missions through secure, reliable, and user-centered technology services. Digital Research Operations provides specialized platforms, infrastructure, and support services that enable investigators, research staff, trainees, and collaborators to conduct data-intensive biomedical research across Mass General Brigham.

Join our scientific computing team and help researchers unlock the potential of a new, world-class high-performance computing platform. By enabling researchers to move from idea to analysis, discovery, validation, and translation more efficiently, the platform supports larger and more complex datasets, more ambitious scientific questions, reproducible and collaborative science, and faster progress toward research findings that can ultimately improve care for our patients.

The Senior Manager, HPC Engineering leads the engineering, architecture, reliability, operations, technical roadmap, and ongoing evolution of our high-performance computing environment. This role is accountable for the technical health of the environment, including compute hardware, high-speed networking, storage, operating systems, configuration management, scientific software stacks, researcher-facing applications, automation, monitoring, incident response, and operational readiness.

The Senior Manager serves as the senior technical owner for HPC and partners closely with the Senior Manager, HPC Researcher Experience to ensure the environment is reliable, scalable, secure, well-documented, and aligned with current and future researcher needs. This includes maturing core services while advancing new capabilities such as data adjacency, enclave computing, advanced data movement, benchmarking, and emerging scientific computing workflows.

The role also manages the Managed Services partner relationship, setting operational expectations and ensuring effective day-to-day operations, vendor coordination, maintenance execution, incident response, escalation management, and continuous service improvement

Job Summary

Principal Duties and Responsibilities

• Own the technical strategy, operating model, reliability, and continuous improvement of the HPC platform, including compute, storage, networking, operating systems, configuration, software, automation, monitoring, and operational standards.
• Own the HPC platform architecture and technical roadmap, ensuring that compute, storage, networking, software, automation, security, data adjacency, enclave capabilities, and operational capabilities evolve to meet current and future research needs.
• Lead engineering activities for HPC hardware, GPU and CPU compute nodes, high-speed interconnects, storage systems, network connectivity, operating system images, firmware, drivers, configuration management, and platform lifecycle management.
• Own the scientific computing software environment, including schedulers, modules, containers, compilers, libraries, researcher applications, Open OnDemand, and other tools required to support data-intensive biomedical research workloads.
• Own workload management practices for the HPC environment, including scheduler configuration, queues, partitions, job policies, GPU and CPU allocation, fair-share models, utilization optimization, and performance tuning.
• Lead benchmarking and performance engineering practices, including workload profiling, bottleneck analysis, system tuning, baseline benchmark development, vendor performance validation, and evaluation of emerging technologies to improve platform performance and researcher productivity.
• Lead capacity planning and platform lifecycle planning, including utilization forecasting, hardware refresh planning, storage growth analysis, procurement input, and recommendations for future platform investments.
• Own change, release, and configuration management practices for the HPC platform, ensuring that system updates, software deployments, security patches, configuration changes, and maintenance activities are planned, tested, documented, and communicated.
• Establish engineering practices for platform resilience and operational continuity, including backup and recovery coordination, maintenance planning, runbooks, recovery procedures, change controls, and incident readiness.
• Develop and mature automation for user provisioning, storage provisioning, access controls, environment configuration,