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Parallel Computing Jobs in Virginia (NOW HIRING)

teKnoluxion

HPC Systems Engineer

Charlottesville, VA · On-site

$150K - $200K/yr

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

$150K - $200K/yr

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

$150K - $200K/yr

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

Via Logic LLC

GPU Software Engineer

Arlington, VA · On-site

$107.90 - $195.05/hr

A solid understanding of GPU programming and parallel computing architectures. * Understanding signal‑processing algorithms written in MATLAB. * Parallelization of existing algorithms.

Leidos

GPU Software Engineer

Arlington, VA · On-site

$107K - $195K/yr

A solid understanding of GPU programming and parallel computing architectures * Understanding signal processing algorithms written in MATLAB * Parallelization of existing algorithms * Decomposing ...

Leidos

GPU Software Engineer

Arlington, VA · On-site

$107K - $195K/yr

A solid understanding of GPU programming and parallel computing architectures * Understanding signal processing algorithms written in MATLAB * Parallelization of existing algorithms * Decomposing ...

Leidos

GPU Software Engineer

Arlington, VA · On-site

$107K - $195K/yr

A solid understanding of GPU programming and parallel computing architectures * Understanding signal processing algorithms written in MATLAB * Parallelization of existing algorithms * Decomposing ...

EDF

VIE - Digital Engineer F/H

Lynchburg, VA · On-site

... parallel computing in a HPC environment. • Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, or Stable-Baselines3. • Experience with data handling tools (e.g ...

Cymertek

HPC Cloud Performance Engineer

Reston, VA · On-site

$58 - $77.75/hr

Proficiency in parallel computing * Cloud orchestration tools * HPC workload scheduling * Performance profiling tools * Scripting for automation * Data analysis for performance trends DESIRED SKILLS

Cymertek

HPC Cloud Performance Engineer

Chantilly, VA · On-site

$57.50 - $77/hr

Proficiency in parallel computing * Cloud orchestration tools * HPC workload scheduling * Performance profiling tools * Scripting for automation * Data analysis for performance trends DESIRED SKILLS

Cymertek

HPC Cloud Performance Engineer

Tysons, VA · On-site

$56 - $74.75/hr

Proficiency in parallel computing * Cloud orchestration tools * HPC workload scheduling * Performance profiling tools * Scripting for automation * Data analysis for performance trends DESIRED SKILLS

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Showing results 21-40

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 Aug 22, 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 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 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 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 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.

Is parallel computing hard?

Parallel computing as a job involves designing and managing systems that perform multiple calculations simultaneously, which requires strong problem-solving skills, knowledge of algorithms, and proficiency with programming tools like MPI or OpenMP. The difficulty depends on the complexity of tasks and the level of expertise, but it generally involves understanding concurrency, synchronization, and performance optimization. Gaining experience through coursework, certifications, and hands-on projects can help reduce the learning curve.

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 August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $51,911 per year, or $25 per hour.

eCAP HPC Systems Engineer

Data Systems Analysts, Inc.

Charlottesville, VA • On-site

$180K - $220K/yr

Full-time

Re-posted 14 hours ago

Job description

All hired employees are expected to have experience with Microsoft Copilot and / or an approved equivalent AI solution.
Description:
This position is located in Charlottesville; VA. DSA will be providing relocation to Charlottesville market.
Data Systems Analysts, Inc. (DSA) is seeking a TS/SCI cleared HPC Engineer to assist users executing computational workloads within secure High-Performance Computing (HPC) environments. The HPC Engineer will work directly with engineers, analysts, and researchers to support job execution, troubleshoot workload failures, and improve the performance and efficiency of compute workloads running on HPC clusters.
The Engineer will assist users with scheduler job scripts, application execution, and workload performance troubleshooting while promoting HPC best practices for efficient cluster utilization. This role serves as the primary interface between mission users and HPC platform infrastructure teams.
This position requires strong Linux experience, scripting capability, and familiarity with distributed computing environments supporting scientific or engineering workloads.
This position is onsite in Charlottesville, VA.
Responsibilities:
  • Provide user support for computational workloads running on HPC clusters in classified and unclassified environments.
  • Assist users in developing, submitting, and troubleshooting scheduler job scripts for systems such as Slurm or PBS, including resource allocation for CPU, GPU, and distributed compute workloads.
  • Troubleshoot slow, hanging, or failing HPC jobs including MPI based distributed workloads, GPU jobs, and large scale parallel applications.
  • Support users compiling and executing scientific, modeling, or data processing applications within Linux based HPC environments.
  • Provide guidance on HPC best practices for job scheduling, compute resource allocation, and workload performance.
  • Monitor workload execution patterns and provide guidance to improve cluster throughput and resource utilization.
  • Develop scripts or tools using Bash or Python to automate common operational tasks.
  • Maintain documentation and knowledge base articles describing system capabilities, job execution procedures, and troubleshooting guidance.
  • Support performance analysis of compute workloads to identify inefficiencies or configuration issues.
  • Coordinate with HPC systems engineers when infrastructure or cluster configuration issues impact workload performance.
  • Provide responsive on site support for users executing HPC workloads in mission environments.
  • Maintain source controlled scripting and tools using Git or similar version control platforms.
  • Assist users with environment modules and runtime environments required for executing HPC applications.

Required Education, Certifications and Security Clearance:
  • BS degree in Engineering, Computer Science, or related STEM field
    • Experience may be substituted for degree
  • TS/SCI Clearance
  • Ability to obtain DoD 8140 (8570) IAT Level II certification

Required Experience/Qualifications:
  • Minimum 5 years of Linux experience including command line system usage, scripting, and troubleshooting applications in multi-user server environments.
  • Professional experience administering or supporting command line Linux systems (RHEL derivatives preferred).
  • Experience developing scripts using Bash, Python, or similar scripting languages.
  • Experience troubleshooting software execution issues in distributed computing environments.
  • Working knowledge of job scheduling systems such as Slurm, PBS, Torque, or similar platforms.
  • Experience supporting users in technical computing or engineering environments.
  • Strong troubleshooting and analytical skills.
  • Ability to communicate technical concepts clearly to both technical and non technical users.
  • Active TS/SCI security clearance.

Preferred Experience/Qualifications:
  • Experience as a user or administrator of HPC clusters.
  • Experience supporting parallel computing frameworks such as MPI, OpenMP, or CUDA based GPU workloads.
  • Experience supporting scientific or engineering applications requiring large scale compute resources.
  • Experience using performance monitoring and optimization tools for compute workloads.
  • Experience compiling applications using C, C++, Fortran, or Python based environments.
  • Experience working in classified computing environments.
  • Experience supporting GPU enabled workloads.

#DSA209
#LI-KE1
The posted salary range is a good-faith estimate. Actual compensation will be based on the selected candidate's qualifications, experience, skills, and other job-related factors.
DSA - Salary Pay Range
$180,000-$220,000 USD
Many of DSA's positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. DSA is proud to be an Equal Opportunity Employer. DSA is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. DSA requires background checks , where permitted , by law. DSA is an E-Verify Employer.

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