Senior Manager, HPC Engineering

Mass General Brigham•Somerville, MA
•Hybrid

About The Position

Mass General Brigham Digital supports the organization’s clinical, operational, research, and academic missions through secure, reliable, user-centered technology. Digital Research Operations provides specialized platforms, infrastructure, and support for data-intensive biomedical research. The Senior Manager, HPC Engineering leads the engineering, architecture, reliability, operations, technical roadmap, and evolution of the high-performance computing environment, serving as its senior technical owner and ensuring it is reliable, scalable, secure, well documented, and aligned with researchers’ current and future needs. The role is accountable for the technical health of the HPC environment, including compute hardware, high-speed networking, storage, operating systems, configuration management, scientific software, researcher-facing applications, automation, monitoring, incident response, and operational readiness. It advances capabilities such as data adjacency, enclave computing, advanced data movement, benchmarking, and emerging scientific computing workflows. The Senior Manager also manages the Managed Services partner relationship and leads engineering staff and technical partners. The position is hybrid, with 1–4 days per week onsite at Assembly Row in Somerville, Massachusetts, and an average of at least four onsite days per month. Remote work requires a quiet, secure, HIPAA-compliant workspace, which is confirmed via Microsoft Teams Video on the first day. Scheduled hours are 40 per week, on the day shift. The listed annual pay range is $117,707.20–$171,204.80.

Requirements

  • Bachelor’s degree in computer science, engineering, information systems, computational science, biomedical informatics, or a related field; equivalent experience may be accepted in lieu of a degree.
  • At least 8 years of related technical experience in platform development.
  • At least 2 years of engineering leadership experience.
  • At least 7–10 years of progressive experience in HPC, research infrastructure, scientific computing platforms, Linux systems engineering, storage, networking, or related infrastructure environments.
  • At least 4 years of people management, technical leadership, infrastructure operations leadership, vendor management, or platform engineering leadership experience.
  • Strong working knowledge of HPC architecture, Linux, schedulers, high-speed networking, parallel file systems, storage platforms, GPUs, CPUs, drivers, firmware, configuration management, monitoring, automation, data movement, data adjacency, enclave capabilities, and secure multi-user computing environments.
  • Experience supporting scientific software environments, including schedulers, modules, containers, compilers, MPI libraries, GPU software stacks, Open OnDemand, Globus or other data transfer tools, researcher applications, and software lifecycle practices in multi-user scientific computing environments.
  • Experience managing managed services providers, vendors, consultants, service-level expectations, incident coordination, maintenance planning, performance reviews, and escalations in complex technical environments.
  • Demonstrated ability to lead platform operations, improve reliability, manage incidents, analyze root causes, plan capacity, reduce operational risk, and mature engineering practices using metrics and operational data.
  • Familiarity with Agile/SCRUM processes.

Nice To Haves

  • Advanced degree.
  • Knowledge of security, HIPAA and privacy principles, compliance, identity and access management, and risk management practices relevant to healthcare or academic research environments.

Responsibilities

  • Own the technical strategy, operating model, reliability, and continuous improvement of the HPC platform.
  • Own the platform architecture and technical roadmap, evolving compute, storage, networking, software, automation, security, data adjacency, enclave, and operational capabilities.
  • Lead engineering for HPC hardware, GPU and CPU nodes, high-speed interconnects, storage, network connectivity, operating system images, firmware, drivers, configuration management, and platform lifecycle.
  • Own the scientific computing software environment, including schedulers, modules, containers, compilers, libraries, researcher applications, Open OnDemand, and related tools.
  • Manage workload practices, including scheduler configuration, queues, partitions, job policies, GPU and CPU allocation, fair-share models, utilization, and performance tuning.
  • Lead benchmarking and performance engineering, including workload profiling, bottleneck analysis, tuning, baseline benchmarks, vendor validation, and technology evaluation.
  • Lead capacity and lifecycle planning, including utilization forecasting, hardware refreshes, storage growth analysis, procurement input, and investment recommendations.
  • Own change, release, and configuration management, ensuring updates, deployments, patches, configuration changes, and maintenance are planned, tested, documented, and communicated.
  • Establish resilience and operational continuity practices, including backup and recovery coordination, maintenance planning, runbooks, recovery procedures, change controls, and incident readiness.
  • Develop automation for provisioning, access controls, configuration, software deployment, monitoring, alerting, reporting, and routine operations.
  • Oversee data movement and workflow integrations, including Globus, data transfer services, storage connectivity, research workflows, and coordination with cloud, storage, data adjacency, enclave, and institutional data services.
  • Manage the Managed Services partner relationship, including operational expectations, service quality, incidents, vendors, maintenance, escalations, performance reviews, and continuous improvement.
  • Serve as the senior technical escalation point for complex platform issues and coordinate troubleshooting, root-cause analysis, remediation, communications, and follow-up.
  • Partner with the Senior Manager, HPC Researcher Experience to convert researcher needs, support trends, usage patterns, and feedback into platform improvements, roadmap priorities, documentation, and operational changes.
  • Establish and track platform health measures, including availability, performance, capacity, utilization, incidents, storage growth, software demand, automation effectiveness, and reliability or scalability risks.
  • Partner with security, compliance, identity, networking, infrastructure, storage, cloud, and vendor teams to align the platform with organizational security, privacy, access, resilience, and risk standards.
  • Work with security and compliance teams on vulnerability management, patching, access controls, audit logging, identity integration, secure configuration, and risk remediation.
  • Lead, coach, and develop engineering staff, consultants, managed services contributors, and technical partners, setting expectations for reliability, documentation, operational discipline, collaboration, and improvement.
  • Direct application development, prototyping, delivery, and roadmaps in the assigned domain.
  • Develop and expand frameworks, approaches, and techniques to advance platform development.
  • Manage the development backlog and roadmap for digital platforms.
  • Lead continuous service improvement and process maturity through reviews, trend analysis, metrics reporting, and stakeholder engagement.
  • Lead, recruit, and develop teams of software engineers, release managers, and other team members.
  • Set direction and goals for platform strategy and development operations.
  • Perform other duties and responsibilities as assigned.

Benefits

  • Comprehensive benefits.
  • Career advancement opportunities.
  • Differentials, premiums, and bonuses as applicable.
  • Recognition programs designed to celebrate contributions and support professional growth.
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