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High Performance Computing Engineer

Harvard University

Boston, MA, United StatesFull TimeMid
Sign in to applyVerified 2h ago
Location
Boston, MA, United States
Employment
Full Time
Work model
On-Site
Level
Mid
Posted
38d ago

Skills

AnsibleDockerLinux

About this role

High Performance Computing Engineer Full-time Work Format: Hybrid Harvard Job Function: Information Technology Union: 00 - Non Union, Exempt or Temporary Salary Grade: 057 Department: Information Technology - Infrastructure FLSA Status: Exempt Company 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. Job Description 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 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. Perform other duties as assigned. Qualifications Basic Qualifications: Minimum of two years’ post-secondary education or relevant work experience. Additional Qualifications and Skills: Bachelor's degree preferred. 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. Strong 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 learn and grow technical depth in HPC tools and methodologies. Effective time management and documentation habits. Certificates and Licenses: Completion of Harvard IT Academy specified foundational courses (or external equivalent) preferred. Additional Information Standard Hours/Schedule: 35 hours per week Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for

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High Performance Computing Engineer at Harvard University, Boston, MA, United States | Yoinka