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How much do high performance computing programmer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for high performance computing programmer in the United States is $39.54, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.44 per hour, depending on experience, location, and employer.

What is a high performance computing programmer?

A High Performance Computing (HPC) Programmer is a specialist who develops, optimizes, and maintains software that runs on supercomputers and large-scale computing clusters. Their primary role is to write efficient code that can leverage parallel processing and advanced computational resources to solve complex scientific, engineering, or data-intensive problems. They often work closely with researchers and scientists to adapt algorithms for high-speed computation using languages such as C, C++, Fortran, and Python, as well as parallel programming frameworks like MPI and OpenMP.

What are the key skills and qualifications needed to thrive as a high performance computing programmer?

To thrive as a High Performance Computing Programmer, you need a strong background in parallel programming, computational algorithms, and proficiency in languages like C/C++ or Fortran, often supported by a degree in computer science or a related field. Familiarity with HPC frameworks (such as MPI, OpenMP), Linux-based systems, and experience with job scheduling tools like SLURM are typically required. Strong analytical thinking, problem-solving abilities, and effective teamwork distinguish top performers in this role. These competencies ensure efficient optimization of complex computations and seamless collaboration in large-scale, performance-critical computing environments.

What are some common challenges faced by high performance computing programmers when optimizing code for large-scale systems?

High Performance Computing (HPC) Programmers often encounter challenges related to parallelization, memory management, and ensuring code scalability across thousands of processors. Debugging and profiling parallel programs can be complex due to the intricacies of distributed computing environments. Additionally, staying updated with evolving hardware architectures and optimizing code to leverage GPUs or specialized accelerators is crucial. Effective communication with domain scientists and system administrators is also essential to ensure software meets both performance and research goals.

What is the difference between High Performance Computing Programmer vs Data Scientist?

AspectHigh Performance Computing ProgrammerData Scientist
Required CredentialsBachelor's or higher in Computer Science, Computer Engineering, or related fields; programming certificationsBachelor's or higher in Data Science, Statistics, Computer Science; often with certifications in data analysis or machine learning
Work EnvironmentResearch labs, tech companies, government agencies focusing on large-scale computationsBusiness, tech firms, healthcare, finance analyzing data for insights
Employer & Industry UsagePrimarily in scientific research, engineering, simulationsIn analytics, AI, business intelligence across various sectors

While both roles require strong programming skills and a background in computer science, High Performance Computing Programmers focus on optimizing and developing software for large-scale computational tasks. Data Scientists analyze and interpret data to inform business decisions. The roles differ mainly in their application areas and end goals, but share foundational technical skills.

What are popular job titles related to High Performance Computing Programmer jobs?

For High Performance Computing Programmer jobs, the most frequently searched job titles are:

Infographic showing various High Performance Computing Programmer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 2% Contract, and 1% Nights. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $82,234 per year, or $39.5 per hour.

High-Performance Computing (HPC) Engineer

Chantilly, VA • On-site

Full-time

Medical, Retirement, PTO

Posted yesterday

New


Job description

The Aerospace Corporation is the trusted partner to the nation's space programs, solving the hardest problems and providing unmatched technical expertise. As the operator of a federally funded research and development center (FFRDC), we are broadly engaged across all aspects of space- delivering innovative solutions that span satellite, launch, ground, and cyber systems for defense, civil and commercial customers. When you join our team, you'll be part of a special collection of problem solvers, thought leaders, and innovators. Join us and take your place in space.

The Aerospace Corporation is seeking a talented High-Performance Computing (HPC) Engineer (Site Reliability Engineer Staff III/IV) to join our Computational Services team. In this role, you will develop, implement, and optimize HPC clusters that support both on-premises and cloud environments. You will work alongside rocket scientists and engineers, tackling complex space enterprise challenges while having direct impact on critical national security missions. We value a collaborative, proactive mindset and a shared commitment to engineering excellence.

The selected candidate will be required to work full-time, on-site at our facility in El Segundo, CA or Chantilly, VA.

What You'll Be Doing

  • Collaborate with scientists and engineers on diverse projects supporting mission-critical technical analysis for national space assets
  • Lead cross-functional teams and mentorjunior engineers.
  • Design and implement HPC solutions that optimize resource utilization across diverse workloads in both classified and unclassified settings.
  • Manageon premise10,000-core classified cluster and a5,000-core unclassified cluster to ensure peak performance.
  • Deliver high-quality HPC infrastructure design, and system configuration.
  • Develop and deploy automation solutions using tools such asClush.
  • Manage infrastructure using Infrastructure-as-Code and GitOps practices
  • Implement, support,andoptimizeGPU computing.
  • Monitor, analyze, and tune HPC system performance, utilization, and resource allocation to maintain operational efficiency.
  • Develop cost-efficientHPC service offerings that align with mission and business objectives.
  • Harden Linux systems to meet stringent security requirements

What You Need to be Successful

Minimum Requirements for theSite Reliability Engineer Staff III:

  • Bachelor's degree in Computer Science, Engineering, or equivalent experience.
  • Minimum of7years' experience in Linux system administration within an enterprise HPC environment.
  • Experience supporting technical software (compilers, mod&sim tools, languages, COTS, GOTs) including the development of environment modules.
  • In-depth knowledge of Linux, networking, and HPC systems.
  • Experience withInfrastructure-as-Code andGitOps
  • Proven experience in managing the Slurm scheduler and setting up HPC systems for both interactive and batch workloads.
  • Experience provisioning and supporting AI & NVIDIA GPU technologies(e.g. CUDA)
  • Proficiency in scripting and competence with automation tools such asClush.
  • Experience hardening Linux systems to meet security requirements
  • Experience with hardware and infrastructure automation in environments using server vendors such as HPE or Cisco.
  • Strong communication skills, with an ability to work both independently and as part of a geographically distributed team.
  • CompTIA Security+ CE certification or equivalent that meets DoD 8570.01-m requirements for IAT Level II personnel
  • Ability to obtain and maintain a TS/SCI clearance (U.S. citizenship required).
  • Demonstrated ability to lead cross-functional teams and mentor junior engineers.

In addition to the above, the minimum requirements for theSite Reliability Engineer Staff IVinclude:

  • 9+ years of experience in an enterprise100+ serverHPCclusteroperations and administration
  • Experiencewith performance analysis and optimizationwithcustom developedtechnical softwarein collaboration with scientists and engineers.
  • Expertise in optimizing and customizing Slurm partitions, qualities of serviceand priorityto balance utilization and reduce job wait times.
  • Experience performing in-place upgrades of Slurm.
  • Implementing visualization of live system telemetry
  • Experiencedevelopingand architectingclusterconfiguration management
  • AdvancedInfrastructure-as-CodeGitOps(e.g. multi-branchpipelines)
  • Skill in provisioning and supporting AI & NVIDIA GPU technologies(e.g. CUDA,Nsight), with expertise in GPU integration, resource allocation, and scheduling using Slurm.

How You Can Stand Out

It would be impressive if you have one or more of these:

  • An active TS/SCI clearance with CI Polygraph.
  • Experience integrating Slurm with SELinux
  • Experienceimplementing DISA STIG compliance
  • ExperienceintegratingKubernetes and Slurm, e.g. Slinky
  • Experience supportingand managingdiverse HPC workloads, includingcomputational fluid dynamics,MonteCarlo, structural analysis
  • Experienceintegratinguser web portalstolaunch & manageworkloads (e.g.Open OnDemandanddeveloping plugins for session persistence and VSCode)
  • Experienceimplementingutilization dashboards (e.g.XDMod)with Slurm
  • Experience managing parallel file systems such as Lustre.
  • Experience developing solutions that optimize data storage
  • Experienceimplementingor supporting Slurm REST API
  • Experience withautomated provisioning, e.g.Warewolf, Kickstart, PXE
  • Knowledge of NVLINKand DCGMfor optimizing GPU workflows.
  • Familiarity with Prometheus and Grafana for monitoring and performance visualization.
  • Background in containerization within an HPC context usedfor data processing and technical analysis
  • Experiencepackaging custom software(e.g. RPMs)
  • Proficiency with automation tools such as Ansible for HPC
  • Hands-on background with cloud HPC services
  • Experience with AWS Parallel Computing Service (AWS ParallelCluster).

We offer a competitive compensation package where you'll be rewarded based on your performance and recognized for the value you bring to our business. The grade-based pay range for this job is listed below. Individual salaries within that range are determined through a wide variety of factors including but not limited to education, experience, knowledge and skills.

(Min - Max)

$135,200.00 - $202,800.00Pay Basis: Annual

Leadership Competencies

Our leadership philosophy is simple: every employee, regardless of level and role, can demonstrate leadership. At Aerospace, our commitment is our people. To cultivate our talent and ensure that we have a strong pipeline of future leaders, we want individuals who:

  • Operate Strategically
  • Lead Change
  • Engage with Impact
  • Foster Innovation
  • Deliver Results

Ways We Reward Our Employees

During your interview process, our team will provide details of our industry-leading benefits.

Benefits vary and are applicable based on Job Type. A few highlights include:

  • Comprehensive health care and wellness plans

  • Paid holidays, sick time, and vacation

  • Standard and alternate work schedules, including telework options

  • 401(k) Plan - Employees receive a total company-paid benefit of 8%, 10%, or 12% of eligible compensation based on years of service and matching contributions; employees are immediately eligible and vested in the plan upon hire

  • Flexible spending accounts

  • Variable pay program for exceptional contributions

  • Relocation assistance

  • Professional growth and development programs to help advance your career

  • Education assistance programs

  • An inclusive work environment built on teamwork, flexibility, and respect

We are all unique, from various backgrounds and all walks of life, yet one thing bonds all of us to each other-the belief that we can make a difference. This core belief empowers us to do our best work at The Aerospace Corporation.

Equal Opportunity Commitment

The Aerospace Corporation is an equalopportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, age, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity or expression, color,religion,geneticinformation, marital status, ancestry, national origin, protected veteran status, physical disability, medical condition, mental disability, or disability status and any other characteristic protected by state or federal law. If you're an individual with a disability or a disabled veteran who needs assistance using our online job search and application tools or need reasonable accommodation to complete the job application process, please contact us by phone at 310.336.5432 or by emailatpeoplemangmnt.mailbox@aero.org .You can also reviewKnow Your Rights: Workplace Discrimination is Illegal.