1

High Performance Computing Jobs in Oklahoma (NOW HIRING)

Senior Software Engineer Specialist

Tulsa, OK · On-site

$92K - $121K/yr

Familiarity with software testing, benchmarking, and debugging techniques in high-performance computing environments. Experience developing for multiple CUDA Architectures and Compute Capabilities ...

C++ Tutor

Stillwater, OK · Remote

$18 - $40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

C++ Tutor

Oklahoma City, OK · Remote

$18 - $40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

C++ Tutor

Tulsa, OK · Remote

$18 - $40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

Post-Doctoral Fellow AF7770

Stillwater, OK · On-site

$46K - $62K/yr

Experience with high-performance computing and parallel data-processing workflows. SALARY AND BENEFITS: Salary will be commensurate with education, experience, qualifications and contingent on ...

New

High Performance Computing (HPC) systems * Development, production, and application server environments * Desktop systems and supporting infrastructure * Network systems * Lead and execute ...

New

next page

Showing results 1-20

High Performance Computing information

See Oklahoma salary details

$36.9K

$91.9K

$141.7K

How much do high performance computing jobs pay per year?

As of Aug 13, 2026, the average yearly pay for high performance computing in Oklahoma is $91,897.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $116,300.00 per year, depending on experience, location, and employer.

What are the typical responsibilities of someone working in high performance computing?

Professionals in High Performance Computing (HPC) are often responsible for designing, implementing, and maintaining powerful computing clusters tailored for processing large data sets or running complex simulations. Daily tasks may include optimizing code and workflows for parallel environments, troubleshooting hardware and software issues, and supporting researchers or engineers in using HPC resources efficiently. Collaboration is common, as HPC specialists work closely with IT staff, domain scientists, and software developers to ensure systems meet project and organizational goals. This role provides a challenging and dynamic work environment, offering opportunities to continually learn about emerging technologies and methodologies in computational science.

Is high performance computing still relevant?

High Performance Computing (HPC) remains highly relevant as it enables complex data processing, scientific simulations, and large-scale computations across industries such as research, finance, and engineering. HPC specialists are in demand for skills in parallel programming, cluster management, and optimizing computational workflows to handle growing data and performance needs.

What are the key skills and qualifications needed to thrive in high performance computing, and why are they important?

To thrive in High Performance Computing, you need expertise in parallel computing, computer architecture, and programming languages such as C/C++ or Fortran, often backed by a relevant degree in computer science or engineering. Familiarity with HPC cluster management, job scheduling systems (e.g., SLURM), and experience with accelerators like GPUs or cloud platforms is crucial; certifications in Linux administration or HPC technologies are advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities help professionals excel in complex, collaborative environments. These qualifications enable the efficient design, deployment, and maintenance of advanced computing infrastructure to support scientific and engineering applications.

What is high performance computing?

A High Performance Computing (HPC) job involves designing, managing, and optimizing advanced computing systems used for complex calculations, simulations, and data processing. Professionals in this field work with supercomputers, parallel computing frameworks, and high-speed networks to enhance computational efficiency. HPC specialists are commonly employed in scientific research, engineering, finance, and artificial intelligence to solve large-scale problems. Responsibilities often include developing algorithms, maintaining HPC clusters, and improving system performance.

What are examples of high performance computing?

High Performance Computing (HPC) involves using powerful supercomputers and parallel processing techniques to solve complex computational problems. Examples include climate modeling, molecular simulations, large-scale data analysis, and scientific research that require high processing speeds and large memory capacities. HPC jobs often involve working with specialized hardware, software, and programming skills such as MPI or CUDA.
What are popular job titles related to High Performance Computing jobs in Oklahoma? For High Performance Computing jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching High Performance Computing jobs in Oklahoma look for? The top searched job categories for High Performance Computing jobs in Oklahoma are:
Infographic showing various High Performance Computing job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $91,897 per year, or $44.2 per hour.

High Performance Computing (HPC) Engineer

Federal Reserve Bank of Richmond

Oklahoma City, OK • On-site

Full-time

Re-posted 5 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.

Privacy Notice