High-Performance Computing (HPC) Systems Engineer
About The Position
We are seeking a High-Performance Computing (HPC) Systems Engineer to architect, deploy, and maintain the large-scale physical hardware, distributed filesystems, and low-latency networking infrastructure powering our scientific computing ecosystem. This role focuses on the bare-metal and system-level foundations of a petabyte-scale environment, ensuring high availability, peak storage performance, and reliable data movement for experimental nuclear physics workloads. The ideal candidate will blend deep Linux systems administration expertise with modern infrastructure-as-code automation to support state-of-the-art research computing clusters.
Requirements
- 3 or more years Experience performing enterprise linux System Administration tasks including installation, configuration, and support of COTS/GOTS/FOSS software, file, network, and large-scale storage systems.
- Experience operating in a production environment with high availability requirements.
- Experience with automating test procedures
- Bachelor's Degree in Computer Science, Computer Engineering, or related degree with significant Computer Science coursework
- Ability to architect, provision, tune, and maintain petabyte-scale, high-performance parallel and distributed storage systems, including Lustre, Ceph, CephFS, and NFS.
- Expert Kubernetes, Docker/Podman, and containerization administration.
- Expert Knowledge of Linux system administration including installation and configuration management (ie. Ansible/Puppet/Foreman)
- Ability to develop, debug, and test applications based upon design and performance requirements.
- Ability to communicate clearly in writing (e.g., email, presentations, drawings) and explain work to their supervisor and others in the group.
- Ability to work effectively with peers and participate in participate in troubleshooting, including off-hours during outages and as part of an occasional on-call rotation.
Nice To Haves
- Experience with NP/HEP HPC infrastructure like slurm, Rucio, Globus, XrootD
- Master's Degree Computer Science, Data Science, or related discipline
Responsibilities
- Collaboratively design and implement software infrastructure supporting of High Performance and High Throughput computing using best-in-class containerization and orchestration tools.
- Deploy, maintain, and operate physical infrastructure for scientific computing services.
- Create highly available services through consideration of the entire stack from hardware and networking though the user application.
- Engage with users to meet service requirements for performance and availability.
- Develop software to address gaps in existing tools.
- Audit and recommend architectural changes to improve performance, security, and availability.
- Contribute to upstream development efforts of community tools.
- Work with students and interns on research projects.
Benefits
- Medical, Dental, and Vision Care Plans
- Flexible Spending Accounts
- Paid Time-off and Leave Programs (Paid Parental, vacation, holidays, and sick leave)
- 401(k) Plan – 9% Lab Contribution; 100% vested
- Flexible Work Arrangements (Remote & Alternate Work Schedules available)
- Tuition Assistance, Training and Professional Development Programs
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
