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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 ...

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 ...

Leidos

GPU Software Engineer

Arlington, VA

$69K - $125K/yr

An understanding of GPU programming and parallel computing architectures * Grow and develop experience in: * Signal processing algorithms written in MATLAB * Parallelization of existing algorithms

Leidos

GPU Software Engineer

Arlington, VA · On-site

$69K - $125K/yr

An understanding of GPU programming and parallel computing architectures * Grow and develop experience in: * Signal processing algorithms written in MATLAB * Parallelization of existing algorithms

Leidos

GPU Software Engineer

Arlington, VA · On-site

$69K - $125K/yr

An understanding of GPU programming and parallel computing architectures * Grow and develop experience in: * Signal processing algorithms written in MATLAB * Parallelization of existing algorithms

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

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

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Parallel Computing information

See Virginia salary details

$24.8K

$51.9K

$89.7K

How much do parallel computing jobs pay per year?

As of Jul 11, 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.

Is parallel computing difficult?

Parallel computing as a job involves designing and implementing systems that perform multiple tasks 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 projects and the individual's experience, but mastering parallel algorithms and debugging concurrent processes can be challenging for beginners. Continuous learning and practical experience are essential for success in this field.

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 highest paying job in computing?

In computing, roles such as Chief Technology Officer (CTO), Solutions Architect, and Data Science Director tend to be among the highest paying, often earning six-figure salaries. Specialized skills in areas like artificial intelligence, cybersecurity, and cloud computing can also command top compensation levels for experienced professionals.

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 engineers make $500,000?

Senior engineers in fields such as software, aerospace, or petroleum engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. High compensation typically requires extensive experience, advanced skills, and working in high-demand industries or leadership roles.

What is an example of parallel computing in real life?

Parallel computing in a job context involves tasks like processing large datasets or simulations simultaneously across multiple processors or cores to improve efficiency. For example, data analysts may use parallel computing tools to analyze big data sets quickly, requiring knowledge of programming languages such as Python or C++ and familiarity with parallel processing frameworks like MPI or OpenMP.
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
HPC Support Engineer - TS/SCI Required

HPC Support Engineer - TS/SCI Required

Phoenix Operations Group

Charlottesville, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

Description:

HPC Support Engineer - Charlottesville, VA (100% Onsite) - Active TS/SCI Clearance Required


About the Role

Phoenix is seeking an HPC Support Engineer to support users executing computational workloads within advanced Linux-based High Performance Computing (HPC) environments. This role is essential to ensuring efficient, reliable execution of distributed workloads, scientific simulations, and GPU-accelerated processing.


You will work directly with users and systems in a cluster-scale environment, helping optimize job performance, troubleshoot issues, and promote HPC best practices.


What You’ll Do
  • Support execution of distributed compute workloads on HPC clusters
  • Troubleshoot job failures and performance issues
  • Assist users with scheduler job submission scripts (e.g., Slurm, PBS)
  • Identify and resolve performance bottlenecks across compute workloads
  • Support GPU-enabled workloads and CUDA-based processing
  • Guide users on efficient cluster utilization and HPC best practices
  • Assist with application execution, compilation, and runtime issues
  • Develop and maintain automation scripts and tooling
Required Qualifications
  • Active TS/SCI clearance
  • Ability to work onsite in Charlottesville, VA
  • 5+ years of experience in Linux environments supporting HPC or distributed compute workloads
  • Experience executing or troubleshooting workloads using:
    • Slurm
    • PBS / PBS Pro
    • Torque or similar schedulers
  • Strong command-line Linux experience (RHEL preferred)
  • Experience with scripting or automation (Bash, Python, or similar)
  • Ability to obtain DoD 8140 (8570) IAT Level II certification
Preferred Qualifications
  • Experience supporting HPC cluster environments
  • Experience with MPI, OpenMP, or parallel computing frameworks
  • Experience supporting GPU workloads and CUDA environments
  • Familiarity with scientific or engineering applications in HPC environments
  • Experience with C/C++ or Fortran and compiler toolchains (GCC, Intel, LLVM)
  • Experience troubleshooting application build or runtime issues
  • Experience supporting research labs, university HPC, or defense environments
Technical Environment

You’ll work in a cutting-edge environment that includes:

  • Multi-node Linux HPC clusters
  • Workload schedulers (Slurm, PBS)
  • Distributed computing frameworks (MPI, OpenMP)
  • GPU-enabled compute (CUDA)
  • High-performance networking (RDMA, InfiniBand)
What Makes a Strong Candidate

Top candidates typically come from:

  • HPC workload support or user-facing engineering roles
  • Research computing or university HPC centers
  • National labs or scientific computing environments
  • Defense or intelligence community computing programs
How to Apply

Qualified candidates should submit resumes that clearly highlight:

  • HPC workload execution or troubleshooting experience
  • Scheduler expertise (Slurm, PBS, etc.)
  • Linux-based compute environment experience
  • Distributed workload performance tuning
  • Automation and scripting experience

Benefits Offered:


Medical, Dental, Vision Insurance - 100% Company Paid Premiums

STD, LTD, and Life Insurance - 100% Company paid

401K – Automatic 10% company contribution; no matching required

PTO - 4 weeks/year

Holidays - 11 paid/year

Birthdays off with pay

Referral Bonuses – Upfront AND Annually Recurring

Open Source Bonuses – Contribute to our Github projects

Professional Development – Paid training, Certifications, and Enrichment


ABOUT PHOENIX OPERATIONS GROUP:


Phoenix Operations Group is a high-end engineering services company dedicated to protecting and advancing our national cyber resources. As a small company, we rely on innovation to continually advance our employees' skills and provide game-changing solutions to our customers.


Our technical competencies include Big Data analytics (batch and streaming), Cloud Computing infrastructure, multi-INT visualization, and enterprise architectures. We support operational missions (All-Source, Financial, CND) and serve as Product Owners for our open-source research initiatives.


Please visit us at http://www.phoenix-opsgroup.com for more information.


Phoenix Operations Group is an Equal Opportunity Employer. Phoenix Operations Group does not discriminate based on race, religion, color, sex, gender, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided based on qualifications, merit, and business needs.

Requirements: