Harvard University
Tech / AI / Software
HighPerformanceComputingEngineer
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“High Performance Computing Engineer at Harvard University. Skills: High Performance Computing (HPC), Linux System Administration, Workload Scheduling (Slurm), Infrastructure Monitoring, Configuration Management (Ansible), Containerization (Docker, Apptainer/Singularity), Security and Compliance Frameworks. Perform provisioning, configuration, and decommissioning of HPC compute clusters. Support the administration and tuning of workload schedulers (e. g. , Slurm)”
What You'll Achieve.
Ensure efficient job management and cluster utilization; Meet institutional compliance needs; Support evolving HPC workflows and infrastructure; Advance Harvard's world-changing mission; Improve health and well-being for all
Industry & Context.
Troubleshooting
Participate in off-hours on-call rotation, Pre-Employment Screening: Identity, Criminal, Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position.
What They're Looking For.
Must Have
Minimum of two years’ post-secondary education or relevant work experience, Experience managing Linux-based systems in a research or academic environment, Familiarity with workload schedulers (Slurm preferred), cluster provisioning, or performance tuning, Experience with infrastructure monitoring, configuration management (e. g. , Ansible), and containerization (e. g. , Apptainer/Singularity, Docker), Understanding of security and compliance frameworks relevant to research computing, troubleshooting, communication, and collaboration skills, Ability to work in a team-oriented environment and adapt to evolving priorities, Demonstrated service orientation and commitment to operational reliability, Willingness to grow technical depth in HPC tools and methodologies, Effective time management and documentation habits
Nice to Have
Bachelor's degree, Completion of Harvard IT Academy specified foundational courses (or external equivalent)
What You'll Do.
Perform provisioning, configuration, and decommissioning of HPC compute clusters, Support the administration and tuning of workload schedulers (e.
, Slurm), Help maintain secure, regulated compute environments (e.
, NIST 800-171), Contribute to the integration of user accounts and identity management with institutional systems, Maintain and optimize user-facing software environments, including module systems and containerized applications, Support development and maintenance of scripts, automation, and tools used in cluster operations, Monitor system health, respond to alerts, and assist with compliance reporting and documentation, Collaborate with team members and researchers to troubleshoot and improve the computing environment, Contribute to operational documentation and support knowledge-sharing across the team, Participate in off-hours on-call rotation.
How You'll Work.
Team & Collaboration
Collaborate with team members and researchers to troubleshoot and improve the computing environment; Support knowledge-sharing across the team; Work in a team-oriented environment
Communication Scope
Communication skills
Full Job Description
By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive. Why join Harvard Medical School? Harvard Medical School's mission is to nurture a diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership. You’ll be at the heart of biomedical discovery, education, and innovation, working alongside world-renowned faculty and a community dedicated to improving human health. This is more than a job - it’s an opportunity to shape the future of medicine. As a High-Performance Computing (HPC) Engineer, you will support the implementation, operation, and lifecycle management of secure and scalable HPC environments that enable computational research across HMS. Working as part of the Research Computing Infrastructure team, you will contribute to the provisioning and administration of compute clusters, workload scheduling systems such as Slurm, user-facing software environments, and secure platforms that meet institutional compliance needs. This role emphasizes hands-on technical execution, operational reliability, and collaboration with colleagues and researchers to support evolving HPC workflows and infrastructure. Core Duties: * Perform provisioning, configuration, and decommissioning of HPC compute clusters. * Support the administration and tuning of workload schedulers (e.g., Slurm) to ensure efficient job management and cluster utilization. * Help maintain secure, regulated compute environments (e.g., NIST 800-171). * Contribute to the integration of user accounts and identity management with institutional systems. * Maintain and optimize user-facing software environments, including module systems
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