Senior Manager, HPC Engineering

Mass General Brigham•Somerville, MA
•$117,707 - $171,205•Hybrid

About The Position

Mass General Brigham Digital supports the organization’s clinical, operational, research, and academic missions through secure, reliable, user-centered technology services. Digital Research Operations provides platforms, infrastructure, and support that enable investigators, research staff, trainees, and collaborators to conduct data-intensive biomedical research. The Senior Manager, HPC Engineering leads the engineering, architecture, reliability, operations, technical roadmap, and ongoing evolution of Mass General Brigham’s high-performance computing environment. The role is accountable for the technical health of the platform, including compute hardware, high-speed networking, storage, operating systems, configuration management, scientific software stacks, researcher-facing applications, automation, monitoring, incident response, and operational readiness. Serving as the senior technical owner for HPC, the Senior Manager partners closely with the Senior Manager, HPC Researcher Experience to keep the environment reliable, scalable, secure, well documented, and aligned with current and future researcher needs. The role matures core services and advances capabilities such as data adjacency, enclave computing, advanced data movement, benchmarking, and emerging scientific computing workflows. The position 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. It provides technical direction and leadership to engineering staff, consultants, managed services contributors, and other technical partners.

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 leadership experience in engineering.
  • Seven to ten years of progressive experience in high-performance computing, 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 operating systems, 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 an Agile/SCRUM process.

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, including compute, storage, networking, operating systems, configuration, software, automation, monitoring, and operational standards.
  • Own the HPC platform architecture and technical roadmap, evolving platform capabilities to meet current and future research needs.
  • Lead engineering 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 for data-intensive biomedical research.
  • Own workload management practices, including scheduler configuration, queues, partitions, job policies, GPU and CPU allocation, fair-share models, utilization optimization, and performance tuning.
  • Lead benchmarking and performance engineering, including workload profiling, bottleneck analysis, system tuning, baseline benchmark development, vendor performance validation, and evaluation of emerging technologies.
  • Lead capacity and platform lifecycle planning, including utilization forecasting, hardware refresh planning, storage growth analysis, procurement input, and recommendations for future investments.
  • Own change, release, and configuration management practices, ensuring updates, software deployments, security patches, configuration changes, and maintenance activities 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 and mature automation for user and storage provisioning, access controls, environment configuration, software deployment, monitoring, alerting, reporting, and routine operations.
  • Oversee data movement and workflow integration capabilities, including Globus, data transfer services, storage connectivity, research data workflows, and coordination with cloud, storage, data adjacency, enclave, and institutional data services.
  • Manage the Managed Services partner relationship, including operational expectations, service quality, incident and vendor coordination, maintenance planning, escalations, performance reviews, and continuous improvement.
  • Serve as the senior technical escalation point for complex HPC issues; coordinate troubleshooting, root cause analysis, remediation, communications, and follow-up across internal teams, managed services partners, and vendors.
  • Partner with the Senior Manager, HPC Researcher Experience to turn researcher needs, support trends, usage patterns, and feedback into platform improvements, roadmap priorities, documentation updates, and operational changes.
  • Establish and track platform health measures, including availability, performance, capacity, utilization, incident trends, 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 HPC platform with organizational standards for security, privacy, access management, resilience, and risk management.
  • Partner with security and compliance teams to mature security engineering practices, including 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 other technical partners, setting expectations for reliability, documentation, operational discipline, collaboration, and continuous improvement.
  • Provide direct responsibility for development, prototyping, delivery, and roadmaps for applications 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.
  • Provide direction and goal setting on platform strategy and development operations.
  • Perform other duties and responsibilities as assigned.

Benefits

  • Competitive base pay.
  • Comprehensive benefits.
  • Career advancement opportunities.
  • Differentials, premiums, and bonuses as applicable.
  • Recognition programs designed to celebrate contributions and support professional growth.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service