Systems Analyst (Site Reliability Engineer) On-Sire, Oak Ridge, TN

Hewlett Packard Enterprise•Brentwood, TN

2d•$123,500 - $285,000•Onsite

About The Position

Hewlett Packard Enterprise is seeking a Systems Analyst Site Reliability Engineer to support Oak Ridge National Laboratory (ORNL) and its high-performance computing systems. The role supports the deployment, maintenance, and optimization of large-scale computing software infrastructure and hardware to ensure reliable systems for scientific research. It is customer-facing and requires daily on-site work at ORNL in Oak Ridge, Tennessee, within a security area requiring clearance. The posting also describes the role as Remote/Teleworker, primarily working from home, while separately stating that daily on-site work at ORNL is required. The position involves maintaining and troubleshooting HPC infrastructure, helping deploy and validate clusters, analyzing complex system and software issues, and coordinating with researchers and HPE teams. It also includes developing automation and monitoring solutions and keeping current with HPC technologies and performance optimization. HPE describes its workplace as inclusive and offers programs supporting employee wellbeing and personal and professional development. The stated annual base salary range for Tennessee is USD 123,500–285,000; variable incentives may also be offered. Actual offers may vary based on location, experience, education or training, and skill level.

Requirements

U.S. citizenship is required.
At least a Top Secret clearance is required; DOE Q clearance is desired for access. The role requires daily on-site work at Oak Ridge National Laboratory in Oak Ridge, Tennessee.
At least 4 years of experience working in secured areas.
Bachelor’s or master’s degree in Computer Science, Computer Engineering, or a related field.
Experience using SLURM-based HPC systems; system administration experience is preferred.
Proficiency in Linux, Python, and Bash scripting.
Familiarity with C++/Fortran-based HPC application development, GPUs, MPI, and high-performance computing tools.
Strong understanding of application build processes, including compiler configurations, library integration, and dependency management, for environment setup, upgrades, and troubleshooting build and runtime issues.
Experience with large-scale log analysis and troubleshooting performance issues, bugs, or system failures.
Strong written and verbal communication skills, including the ability to document and share knowledge effectively with internal teams and end users.
Familiarity with emerging HPC trends, system architectures, and optimization strategies.

Nice To Haves

DOE Q clearance.
SCI clearance.
Experience as a system administrator of SLURM-based HPC systems.
Familiarity with GPU acceleration such as ROCm, Cray PE, and MPI/OpenMP.

Responsibilities

Maintain and optimize compute infrastructure across multiple large-scale HPC systems.
Participate in the deployment, testing, and validation of live high-performance computing clusters.
Troubleshoot node failures by analyzing OS internals, compiler behavior, and system logs, coordinating with internal subject-matter experts as needed.
Conduct routine and on-demand maintenance, troubleshooting, and performance tuning for large-scale HPC environments.
Collaborate with researchers, engineers, and technical staff to open, maintain, and close tickets to support system reliability and efficiency.
Investigate and document complex software and system-level issues, acting as a bridge between users and HPE internal teams.
Develop and implement automation tools, scripts, and monitoring solutions to streamline system management.
Stay up to date with HPC technologies, including GPU acceleration, parallel computation, and performance tuning.