Remote HPC Site Reliability Engineer

Hewlett Packard Enterprise; Nashville (TN); On-site; USD 124,000 - 285,000; Full time

Benefits offered by this job

Health & Wellbeing

Personal & Professional Development

Unconditional Inclusion

Job summary

Hewlett Packard Enterprise seeks a Systems Analyst (Site Reliability Engineer) to support Oak Ridge National Lab in a security‑critical HPC environment. This on‑site role requires a DOE Q clearance (Top‑Secret acceptable) and focuses on deploying, maintaining, and optimizing large‑scale compute infrastructure for cutting‑edge research.

Join a collaborative team to ensure reliability across HPC clusters, automate routines, monitor performance, and troubleshoot complex issues using Linux, Python,

Qualifications

• BS/MS in Computer Science, Computer Engineering, or related field, with at least 4 years of secured experience.

Responsibilities

• Maintain and optimize compute infrastructure across multiple large-scale HPC systems.
• Participate in deployment, testing, and validation of live HPC clusters.
• Troubleshoot node failures by analyzing OS internals, compiler behavior, and system logs.
• Conduct routine maintenance, troubleshooting, and performance tuning for HPC environments.
• Collaborate with researchers and engineers to manage tickets ensuring reliability and efficiency.
• Develop automation tools, scripts, and monitoring solutions.
• Stay updated on HPC trends, including GPU acceleration and parallel computation.

Skills

SLURM HPC experience

Linux

Python

Bash scripting

C++/Fortran HPC

MPI/OpenMP

GPU acceleration

Documentation

Education

BS/MS in Computer Science or Computer Engineering or related field

Tools

SLURM HPC

MPI/OpenMPI

GPU acceleration (ROCm)

Job description

Hewlett Packard Enterprise seeks a Systems Analyst (Site Reliability Engineer) to support Oak Ridge National Lab in a security‑critical HPC environment. This on‑site role requires a DOE Q clearance (Top‑Secret acceptable) and focuses on deploying, maintaining, and optimizing large‑scale compute infrastructure for cutting‑edge research.

Join a collaborative team to ensure reliability across HPC clusters, automate routines, monitor performance, and troubleshoot complex issues using Linux, Python,