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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.

Java Developer - High Performance Computing

San Jose, CA • On-site

IT America Inc
Software Development • 201 - 500 employees
Learn more about IT America Incexternal

$59.75 - $77.25/hr

Contractor

Re-posted 11 days ago

Job description

Position: Java Developer – High Performance Computing

Location: San Jose, CA (Hybrid)

Duration: W2 Contract

Job Description:

We are looking for a highly skilled Java Developer with strong experience in High Performance Computing (HPC) and Spring Boot to join our team in a hybrid role based in San Jose, CA. The ideal candidate will be passionate about building high-throughput, low-latency systems and developing robust backend services using modern Java frameworks.

Key Responsibilities:

  • Design, develop, and maintain scalable Java applications with a focus on performance and efficiency.
  • Build microservices and backend systems using Spring Boot.
  • Collaborate with cross-functional teams to solve complex computational problems.
  • Optimize applications for speed and scalability across distributed systems.
  • Conduct unit testing and participate in peer code reviews.

Required Skills:

  • Strong proficiency in Java with hands-on experience in real-time or high-performance systems.
  • Solid experience in High Performance Computing (HPC) environments or applications.
  • Expertise in Spring Boot for developing RESTful APIs and microservices.
  • Good understanding of concurrency, multithreading, and performance tuning.
  • Ability to write clean, efficient, and maintainable code.

Preferred Qualifications:

  • Experience with cloud environments (e.g., AWS, Azure, or GCP).
  • Familiarity with CI/CD pipelines and DevOps tools.
  • Exposure to containerization (Docker) and orchestration tools (Kubernetes).