High Performance Computing (HPC) Engineer

The Federal Reserve

Hybrid

Quick summary

Work type
Hybrid
Location
Kansas City · Denver, CO · Omaha, NE · Oklahoma City, OK
Salary
$110,300–$155,700 / yr
Posted
176 days ago
Nearby
29 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $193k
This role $133k
$95k most similar roles pay here $251k

This role pays less than 84% of similar roles. Most pay $149,385–$235,750 — the shaded band above. At the midpoint, this role pays about $133k versus about $193k for comparable roles.

Based on 240 similar postings.

Employer

About The Federal Reserve

The Federal Reserve is the central bank of the United States—one of the world's most influential, trusted and prestigious financial organizations.

The Federal Reserve currently has 29 open roles on FindRole.

Listed pay typically runs $167,000–$210,900 across 23 roles with salary data.

Most-posted roles

View all roles at The Federal Reserve

At a glance

TL;DR · High Performance Computing (HPC) Engineer

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The High Performance Computing Engineer role at the Federal Reserve Bank of Kansas City involves planning, implementing, and maintaining advanced cyberinfrastructure solutions for economic research initiatives. This senior-level position requires designing and deploying medium-scale HPC clusters, managing parallel file systems like Ceph and IBM Spectrum Scale/GPFS, and optimizing scientific applications using MPI and OpenMP. The engineer will collaborate with researchers to understand computational needs, create automation scripts, and provide mentorship to junior staff. Essential skills include extensive Linux (Red Hat/CentOS) experience, proficiency in Python and Bash scripting, and knowledge of job scheduling systems such as SLURM. This role supports critical economic research by ensuring robust security protocols and efficient resource utilization across multiple high-performance computing environments.

Skills

Linux Python Bash SLURM ceph GPFS MPI Ansible Salt Puppet GitLab CI/CD CUDA OpenACC Docker Singularity MESOS Kubernetes

What you'll do

  • Design, deploy, and configure medium-scale HPC clusters and storage systems.
  • Monitor system health, performance metrics, and resource utilization for optimal operation.
  • Implement robust security protocols and perform regular maintenance on HPC infrastructure.
  • Troubleshoot complex hardware and software issues in a multi-user research environment.
  • Develop automation scripts and tools to streamline system administration processes.

What we're looking for

  • Minimum 6 years of relevant experience in HPC administration and systems engineering.
  • Extensive experience with Linux operating systems (Red Hat/CentOS) in an HPC environment.
  • Strong command line skills and proficiency in scripting languages like Python and Bash.
  • Experience with job scheduling systems such as SLURM, PBS, and LSF.
  • Knowledge of parallel file systems and storage technologies including ceph, GPFS, Lustre, BeeGFS.
  • Familiarity with parallel programming models (MPI, OpenMP) and scientific computing frameworks.

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