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High Performance Computing Hpc Analyst information

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$27.5K

$75.2K

$128.5K

How much do high performance computing hpc analyst jobs pay per year?

As of Jun 7, 2026, the average yearly pay for high performance computing hpc analyst in the United States is $75,189.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $89,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a High Performance Computing (HPC) Analyst, and why are they important?

To thrive as a High Performance Computing (HPC) Analyst, you need a solid background in computer science, mathematics, or engineering, with expertise in parallel programming and Linux-based systems. Familiarity with technical tools such as MPI, OpenMP, job schedulers (like Slurm), and experience with various HPC architectures is typically required, and certifications in cloud or HPC systems can be advantageous. Strong problem-solving abilities, communication skills, and the capacity to work collaboratively with researchers and IT professionals are standout soft skills. These competencies are essential to efficiently optimize computational resources, troubleshoot issues, and enable groundbreaking research or data analysis in high-demand environments.

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

AspectHigh Performance Computing (HPC) AnalystData Analyst
Required CredentialsBachelor's degree in Computer Science, IT, or related field; certifications in HPC or related technologiesBachelor's degree in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentResearch labs, data centers, or IT departments focusing on large-scale computingBusiness, finance, healthcare, or marketing environments analyzing datasets
Employer & Industry UsageTech companies, research institutions, government agenciesCorporate sectors, consulting firms, healthcare providers

The main difference is that HPC Analysts focus on managing and optimizing high-performance computing resources for complex simulations and large datasets, while Data Analysts interpret data to generate insights for decision-making. HPC Analysts require specialized knowledge of computing infrastructure, whereas Data Analysts focus more on data visualization and statistical analysis.

What are some common challenges faced by High Performance Computing (HPC) Analysts when supporting users and systems?

High Performance Computing Analysts often encounter challenges such as troubleshooting complex hardware and software issues, optimizing application performance, and managing resource allocation for multiple users. Balancing the needs of researchers while maintaining system stability and security can be demanding, especially as workloads and technologies rapidly evolve. Additionally, effective communication with users from diverse scientific backgrounds is crucial to understand their requirements and provide tailored support.

What does a High Performance Computing (HPC) Analyst do?

A High Performance Computing (HPC) Analyst is responsible for managing, optimizing, and supporting high-performance computing systems used in research, engineering, and data-intensive applications. Their work includes configuring hardware and software for clusters or supercomputers, troubleshooting system issues, and assisting users in running complex computational jobs efficiently. They also monitor system performance, recommend upgrades, and help ensure security and data integrity within HPC environments. HPC Analysts often collaborate with researchers and IT staff to achieve optimal performance for scientific or business computing tasks.
Infographic showing various High Performance Computing Hpc Analyst job openings in the United States as of May 2026, with employment types broken down into 5% Locum Tenens, 10% As Needed, and 85% Full Time. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $75,189 per year, or $36.1 per hour.
High Performance Computing (HPC) Engineer

High Performance Computing (HPC) Engineer

Federal Reserve Bank of San Francisco

Kansas City, MO

Full-time

Posted 28 days ago

Job description

CompanyFederal Reserve Bank of Kansas CityWhen 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 position. Applicants 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 TimeFull timeRegular / TemporaryRegularJob Exempt (Yes / No)YesJob CategoryInformation Technology Family GroupWork ShiftFirst (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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