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Parallel Computing Jobs in Virginia (NOW HIRING)

Axon

Senior C++ Software Engineer

Sterling, VA · On-site

This position offers the opportunity to deepen your expertise in parallel processing and high-performance computing, with exposure to CUDA programming, positioning you at the forefront of ...

SAIC

HPC Systems Engineer

Charlottesville, VA

Distributed and Containerized Workloads Experience supporting distributed compute workloads utilizing parallel computing frameworks such as: * MPI * OpenMP * GPU compute frameworks Candidates should ...

SAIC

HPC Systems Engineer

Charlottesville, VA

Distributed and Containerized Workloads Experience supporting distributed compute workloads utilizing parallel computing frameworks such as: * MPI * OpenMP * GPU compute frameworks Candidates should ...

teKnoluxion

HPC Systems Engineer

Charlottesville, VA · On-site

Experience with parallel computing frameworks (MPI, OpenMP) * Experience with configuration management tools (Ansible, Puppet) * Experience supporting GPU-enabled environments and CUDA workloads

teKnoluxion

HPC Systems Engineer

Charlottesville, VA · On-site

Experience with parallel computing frameworks (MPI, OpenMP) * Experience with configuration management tools (Ansible, Puppet) * Experience supporting GPU-enabled environments and CUDA workloads

SAIC

HPC Support Engineer

Charlottesville, VA

Distributed Compute Workloads Experience supporting distributed workloads utilizing parallel computing frameworks such as: * MPI * OpenMP Experience supporting the compilation and execution of ...

SAIC

HPC Support Engineer

Charlottesville, VA

Distributed Compute Workloads Experience supporting distributed workloads utilizing parallel computing frameworks such as: * MPI * OpenMP Experience supporting the compilation and execution of ...

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All JobsParallel Computing JobsParallel Computing Jobs in Virginia

Parallel Computing information

See Virginia salary details

$24.8K

$51.9K

$89.7K

How much do parallel computing jobs pay per year?

As of Jun 21, 2026, the average yearly pay for parallel computing in Virginia is $51,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,700.00 and $59,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Parallel Computing Specialist, and why are they important?

To thrive as a Parallel Computing Specialist, you need strong knowledge of computer architecture, parallel algorithms, and experience with programming languages such as C/C++, Python, and frameworks like MPI or OpenMP, often supported by a degree in computer science or a related field. Familiarity with high-performance computing (HPC) environments, GPU programming (CUDA, OpenCL), and cloud-based parallel processing systems is typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills in this role. These skills are vital for efficiently designing, optimizing, and implementing solutions that leverage parallelism to significantly accelerate computational tasks.

What are some common challenges faced by professionals working in parallel computing roles?

Professionals in parallel computing often encounter challenges such as efficiently dividing complex tasks among multiple processors and minimizing communication overhead between them. Debugging and optimizing performance across parallel architectures can be difficult, as issues like race conditions and load imbalances frequently arise. Additionally, staying current with evolving hardware technologies and parallel programming frameworks is essential to ensure solutions remain efficient and scalable. Collaborating with cross-functional teams, such as data scientists and system architects, is also crucial for integrating parallel solutions into larger projects.

What is the difference between Parallel Computing vs Data Analyst?

AspectParallel ComputingData Analyst
Required CredentialsComputer Science or Engineering degree, programming skillsStatistics, Data Science, or related degree, analytical skills
Work EnvironmentResearch labs, tech companies, high-performance computing centersBusiness, finance, healthcare, corporate offices
Industry UsageTechnology, research, scientific computingBusiness intelligence, market analysis, reporting

While Parallel Computing focuses on developing algorithms to process large data sets efficiently across multiple processors, Data Analysts interpret data to provide actionable insights. Both roles require strong technical skills but serve different purposes: one enhances computational performance, the other informs business decisions.

What is parallel computing?

Parallel computing is a type of computation where many calculations or processes are carried out simultaneously, leveraging multiple processors or computers to solve complex problems more efficiently. It divides large tasks into smaller ones that can be executed concurrently, significantly speeding up processing time. Commonly used in scientific research, data analysis, and engineering, parallel computing is essential for handling large-scale simulations and big data applications.
What are popular job titles related to Parallel Computing jobs in Virginia? For Parallel Computing jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Parallel Computing jobs in Virginia look for? The top searched job categories for Parallel Computing jobs in Virginia are:
Parallel Computing jobs near you
Infographic showing various Parallel Computing job openings in Virginia as of June 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 74% Physical, 6% Hybrid, and 20% Remote job distribution, with an average salary of $51,911 per year, or $25 per hour.
Data Science Practitioner

Data Science Practitioner

Accenture Federal Services

Arlington, VA • On-site

Other

Posted 17 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

46th of 428 rated business services

Job description

The work: 

Key Responsibilities:

  • Design, develop, and maintain Python-based software solutions for supply chain analytics applications.
  • Optimize computeintensive simulations (discrete event and Monte Carlo) for performance and scalability.
  • Implement and enhance structured data pipelines using Spark, Pandas, and Numpy.
  • Apply objectoriented programming principles to build robust, maintainable codebases.
  • Collaborate with crossfunctional teams to modernize a strategic contracting analytics application.
  • Integrate detailed Department of Defense (DoD) business logic to project supplychain impacts of acquisition and planning strategies.
  • Utilize GitHub workflows for version control, code review, and collaborative development.
  • Develop and maintain parallel processing solutions to improve simulation efficiency.
  • Build interactive analytics dashboards and tools using Streamlit.
  • Write and maintain unit tests to ensure code quality and reliability.

Here is what you need:

  • US Citizen (No dual citizenship)
  • Bachelors degree required
  • Strong expertise in Python software engineering.
  • Experience with objectoriented development and structured data pipeline design.
  • Proficiency with Spark (or similar tools) for parallel processing.
  • Handson experience with Pandas and Numpy for data manipulation.
  • Experience optimizing computeintensive simulations.
  • Familiarity with GitHub workflows and collaborative development practices.
  • Ability to implement complex business logic in technical applications.
  • Understanding of Python iterators, columnar databases, and parallel computing concepts.

Preferred experience:

  • Exposure to supply chain processes, especially within DoD environments.
  • Experience building interactive dashboards using Streamlit.
  • Background developing robust unit tests for simulationheavy systems.
  • Familiarity with Monte Carlo and discrete event simulation optimization.
  • Experience supporting highstakes or missioncritical analytics platforms.

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