High Performance Computing (HPC) Engineer
AI summary of the role
The Federal Reserve Bank of Kansas City seeks an experienced HPC Engineer to plan, implement, and maintain advanced cyberinfrastructure for the Center for the Advancement of Data and Research in Economics (CADRE).
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design, deploy, configure, and administer medium scale HPC clusters and associated storage systems.
- Manage job scheduling and workload optimization using tools like SLURM.
- Administer parallel file systems (such as ceph and IBM Spectrum Scale/GPFS) and storage solutions.
- Implement container technologies (Docker, Singularity) for reproducible research.
What you’ll bring
- Bachelor’s degree in computer science, engineering, mathematics, or related field, or equivalent combination of education and experience.
- Minimum of 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 (Python, Bash).
Technologies
HPC · SLURM · ceph · GPFS · Linux · Python · Bash · Docker · Singularity · MPI · OpenMP · Ansible
About The Federal Reserve System
U.S. central bank operating monetary policy, bank supervision, financial stability analysis, and national payments infrastructure through the Board and 12 Reserve Banks.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
for the Advancement of Data and Research in Economics (CADRE) supports data and computationally intensive research and analytics for staff in the Economic Research division of the Federal Reserve Bank of Kansas City and across the Federal Reserve System. Our services include multiple high performance computing environments, research data warehousing, and advanced analytical tools. We are an embedded technology team within the division of Economic Research, Regional, and Community Affairs. We are seeking an experienced High Performance Computing Engineer who can plan, implement, and maintain advanced cyberinfrastructure solutions. The ideal candidate will have deep expertise in HPC architectures, parallel computing frameworks, and scientific computing applications. You will work independently while collaborating with researchers to solve complex computational challenges that support
More from the job description
Company Federal Reserve Bank of Kansas City When you join the Federal Reserve—the nation's central bank—you’ll play a key role, collaborating with leading tech professionals to strengthen and protect our economic, financial and payments systems. We invest in contemporary and emerging technology each year to support the Federal Reserve and our economy, and we’re building a dynamic and diverse team for our future. Important Information Open to US Citizens, Green Card holders or Permanent Residents with at least 3 years of residency, with the intent to become a US citizen. No sponsorship is available. Candidates must have valid work authorization, without an end date, to be considered. This position requires working on-site, in Kansas City, Denver, Oklahoma City or Omaha, with 5 days per month work from home flexibility. Relocation assistance is available. About the Role The Center for the Advancement of Data and Research in Economics (CADRE) supports data and computationally intensive research and analytics for staff in the Economic Research division of the Federal Reserve Bank of Kansas City and across the Federal Reserve System. Our services include multiple high performance computing environments, research data warehousing, and advanced analytical tools. We are an embedded technology team within the division of Economic Research, Regional, and Community Affairs. We are [... source excerpt omitted ...] in advanced cyberinfrastructure solutions. The ideal candidate will have deep expertise in HPC architectures, parallel computing frameworks, and scientific computing applications. You will work independently while collaborating with researchers to solve complex computational challenges that support critical economic research initiatives. Key Activities Operations Design, deploy, configure, and administer medium scale HPC clusters and associated storage systems. Monitor system health, performance metrics, and resource utilization to ensure optimal operation. Implement robust security protocols and perform regular maintenance including upgrades and patching. Troubleshoot comp [... source excerpt omitted ...] er parallel file systems (such as ceph and IBM Spectrum Scale/GPFS) and storage solutions. Development Design and implement innovative HPC solutions to address evolving research requirements. Create and maintain automation scripts and tools to streamline system administration. Optimize scientific applications and computational workflows for performance. Implement container technologies (Docker, Singularity) for reproducible research. Support GPU computing and accelerator technologies for specialized workloads. Define and track performance metrics to ensure efficient current and future use of resources. Partnership/Collaboration Partner closely with researchers to understand
Employer postings · Data from · Sources