Federal Reserve Bank of San Francisco · 1 month ago
High Performance Computing (HPC) Engineer
The Federal Reserve Bank of Kansas City is part of the nation's central bank, focusing on strengthening and protecting economic systems. They are seeking an experienced High Performance Computing Engineer responsible for planning, implementing, and maintaining advanced cyberinfrastructure solutions to support critical economic research initiatives.
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Responsibilities
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
Qualification
Required
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
Preferred
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
Benefits
Relocation assistance is available.
Company
Federal Reserve Bank of San Francisco
We are the Federal Reserve Bank of San Francisco—public servants with a mission to advance the nation’s monetary, financial, and payment systems to build a stronger economy for all Americans.
Funding
Current Stage
Late StageLeadership Team
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