High Performance Computing (HPC) Engineer
$110.3k - $155.7kFederal 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
Full time Regular / Temporary
Regular Job Exempt (Yes / No)
Yes Job Category
Information Technology Family Group Work Shift
First (United States of America) The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences. Always verify and apply to jobs on Federal Reserve System Careers ( ) or through verified Federal Reserve Bank social media channels. Privacy Notice
- Open to s, s or Permanent Residents with at least 3 years of residency, with the intent to become a .
- 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.
- 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 complex hardware and software issues in a multi-user research environment.
- 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.
- 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.
- Partner closely with researchers to understand computational needs and translate them into technical solutions.
- Collaborate with network, security, and data center teams to ensure integrated operations.
- Build and maintain relationships with external vendors and technology partners.
- Participate in the HPC community to stay current with emerging technologies and best practices.
- Serve as a technical advisor on infrastructure planning and technology roadmaps.
- Develop comprehensive documentation for systems, policies, and procedures.
- Create user guides and training materials for researchers utilizing HPC resources.
- Provide mentorship to junior staff and knowledge sharing across teams.
- Conduct workshops and training sessions on effective use of HPC resources.
- 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).
- Experience with job scheduling systems (SLURM, PBS, LSF) and resource management.
- Knowledge of parallel file systems and storage technologies (e.g. ceph, GPFS, Lustre, BeeGFS).
- Familiarity with parallel programming models (MPI, OpenMP) and scientific computing frameworks.
- Experience with configuration management and automation tools (Salt, Ansible, Puppet).
- Demonstrated problem-solving abilities and analytical thinking.
- Advanced degree in a computational field.
- Experience with cloud computing platforms and hybrid HPC environments.
- Experience with GitLab CI/CD pipelines for research software development.
- Understanding of GPU computing and accelerator technologies (CUDA, OpenACC).
- Experience supporting machine learning and AI workloads on HPC systems.
- On-site: 5 days per month remote work flexibility
- Location: Kansas City, Denver, Oklahoma City, or Omaha
- Remote Eligible: No
- Relocation Assistance: Yes
- $110,300 - $155,700 / Senior Level
- $125,200 - $176,700 / Advanced Level
- $139,500 - $196,800 / Expert-Lead Level
- Final offers are determined by factors including the candidate's qualifications, internal alignment considerations, district assignment, and geographic location.
- Total Rewards & Benefits
- Who We Are
- What We Do
Full time Regular / Temporary
Regular Job Exempt (Yes / No)
Yes Job Category
Information Technology Family Group Work Shift
First (United States of America) The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences. Always verify and apply to jobs on Federal Reserve System Careers ( ) or through verified Federal Reserve Bank social media channels. Privacy Notice
Vacancy posted 4 hours ago
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