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Parallel Computing Jobs in Virginia (NOW HIRING)

Cymertek Corporation

HPC Software Engineer

Reston, VA · On-site

Responsibilities : • Design and develop software for high-performance computing systems • Optimize applications for scalability and efficiency on HPC architectures • Implement parallel ...

Kepora

Data Scientist

Chantilly, VA · On-site

... scale parallel processing of data, and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments. Required Skills: 'Ä¢ Demonstrated ...

Kepora

Data Scientist

Chantilly, VA

Performing large scale parallel processing of data, and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments. Required Skills ...

Bespoke Technologies, Inc.

Data Modeler

Mclean, VA · On-site

$55.50 - $72/hr

... parallel processing of data, and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments • Tier 1/2 support (incident response ...

FRAMATOME

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., NumPy ...

Booz Allen Hamilton

Embedded FPGA Engineer

Mclean, VA

$131K - $168K/yr

Experience with GPU acceleration, parallel computing, or highbandwidth data processing * Experience gathering requirements, shaping development roadmaps, or supporting Agile workflows * Experience ...

Booz Allen Hamilton, Inc.

Embedded FPGA Engineer

Mclean, VA · On-site

$131K - $168K/yr

Experience with GPU acceleration, parallel computing, or high-bandwidth data processing * Experience gathering requirements, shaping development roadmaps, or supporting Agile workflows * Experience ...

Bespoke Technologies, Inc

Data Modeler

Mclean, VA · On-site

$55.25 - $71.75/hr

Demonstrated experience performing large scale parallel processing of data, and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments

SAIC

Data Scientist

Mclean, VA

$240K - $280K/yr

Demonstrated experience performing large scale parallel processing of data, and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments.

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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 12, 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 Software Engineer

HPC Software Engineer

Cymertek Corporation

Reston, VA • On-site

Full-time

Posted 6 days ago

Job description

Job Summary:
Cymertek Corporation is seeking an innovative and driven HPC Software Engineer to develop and optimize software solutions for cutting-edge computational environments. The role involves designing, implementing, and enhancing software that leverages HPC systems to solve complex problems and drive performance improvements.
Responsibilities:
• Design and develop software for high-performance computing systems
• Optimize applications for scalability and efficiency on HPC architectures
• Implement parallel algorithms for computational workloads
• Troubleshoot and resolve performance issues in HPC environments
• Collaborate with multidisciplinary teams on computational projects
• Ensure software compatibility with diverse HPC hardware architectures
Qualifications:
Required:
• Proficiency in parallel programming languages (e.g., MPI, OpenMP)
• Strong understanding of HPC architectures and clusters
• Experience with performance profiling and tuning tools
• Familiarity with distributed computing frameworks
• Knowledge of scientific computing libraries and tools
• Ability to optimize code for GPUs and accelerators
• Bachelor's Degree in Computer Science, Computational Science, Software Engineering, Electrical Engineering, Computer Engineering, Applied Mathematics, Physics, Data Science, Mechanical Engineering, Aerospace Engineering, Computational Biology, Computational Chemistry, Information Technology, Systems Engineering, Artificial Intelligence, High-Performance Computing, Numerical Analysis, Scientific Computing, Statistics, etc.
• TS/SCI Full Poly clearance
• Full U.S. Citizenship
Preferred:
• Familiarity with cloud-based HPC solutions
• Knowledge of emerging HPC technologies (e.g., quantum computing)
• Experience with high-speed interconnects (e.g., InfiniBand)
• Understanding of job schedulers and resource managers (e.g., Slurm)
• Strong technical documentation and reporting skills
• Ability to mentor team members in HPC best practices
Company:
With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.

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