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Temporary High Performance Computing information

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$32.5K

$68.2K

$112K

How much do temporary high performance computing jobs pay per year?

As of Jun 25, 2026, the average yearly pay for temporary high performance computing in the United States is $68,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $83,000.00 per year, depending on experience, location, and employer.

What is the difference between Temporary High Performance Computing vs Data Analyst?

AspectTemporary High Performance ComputingData Analyst
CredentialsTypically requires computer science, engineering, or related degrees; familiarity with HPC systemsUsually requires statistics, mathematics, or related degrees; proficiency in data analysis tools
Work EnvironmentResearch labs, data centers, or tech companies with focus on large-scale computationsOffice settings, data-driven departments, or consulting firms
Industry UsageResearch, scientific computing, engineering simulationsBusiness, finance, marketing, healthcare analytics

Temporary High Performance Computing specialists focus on managing and utilizing powerful computing systems for complex simulations and data processing, often in research or technical environments. Data Analysts interpret data to provide insights for business decisions. While both roles involve working with data, HPC roles emphasize technical computing infrastructure, whereas Data Analysts focus on data interpretation and reporting.

More about Temporary High Performance Computing jobs
What cities are hiring for Temporary High Performance Computing jobs? Cities with the most Temporary High Performance Computing job openings:
What are the most commonly searched types of High Performance Computing jobs? The most popular types of High Performance Computing jobs are:
What states have the most Temporary High Performance Computing jobs? States with the most job openings for Temporary High Performance Computing jobs include:
What job categories do people searching Temporary High Performance Computing jobs look for? The top searched job categories for Temporary High Performance Computing jobs are:
Temporary High Performance Computing jobs near you
Infographic showing various Temporary High Performance Computing job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $68,249 per year, or $32.8 per hour.
High Performance Computing (HPC) Engineer

High Performance Computing (HPC) Engineer

Federal Reserve System

Kansas City, MO • On-site

Full-time

Posted 17 days ago

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 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 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 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.

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 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.

Documentation/Training
  • 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.

Qualifications
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.

Additional Information
How We Work (HWW)
  • On-site: 5 days per month remote work flexibility
  • Location: Kansas City, Denver, Oklahoma City, or Omaha
  • Remote Eligible: No
  • Relocation Assistance: Yes

Salary
  • $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.

Screening: US Citizens and Green Card holders or Permanent Residents with at least 3 years of residency, with the intent to become a US citizen. This position has additional screening requirements due to the information accessed while performing the job. These additional screenings would be initiated at the time of offer acceptance and could take up to a couple of months to be completed. You can begin work before the screening is completed; however, continued employment is contingent on acceptable screening results. The areas screened may include education/employment verification, criminal history, credit history, and reference checks.
Sponsorship: The Federal Reserve Bank of Kansas City will not sponsor a new applicant for employment authorization for this positionApplicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.
About Us
  • Total Rewards & Benefits
  • Who We Are
  • What We Do

Follow us on LinkedIn, Instagram, X (formerly Twitter), and YouTube #KCFedIT
Full Time / Part Time
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 (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.
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