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Parallel Computing Jobs in Washington (NOW HIRING)

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 ...

Junior Software Engineer

Bowie, MD · On-site

$69K - $125K/yr

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

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 ...

Oracle, PostgreSQL, Cassandra, Hadoop, and Spark for distributed data storage and parallel computing. * Back-End Development: Java for backend applications and data integration tools. * Front-End ...

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

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

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

Embedded FPGA Engineer

Mclean, VA · On-site

$86.80 - $198/hr

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

Showing results 41-60

Parallel Computing information

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 Washington?

For Parallel Computing jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Parallel Computing jobs in Washington look for?

The top searched job categories for Parallel Computing jobs in Washington are:

Infographic showing various Parallel Computing job openings in Washington as of August 2026, with employment types broken down into 34% Full Time, and 66% Contract. Highlights an 100% In-person job distribution.

Computer Scientist (51337)

GAP SOLUTIONS INC

Rockville, MD

Full-time

Re-posted 2 days ago


Job description

Position Objective: Provide services as a Computer Scientist in support of the overall functions of the National Center for Advancing Translational Sciences (NCATS) within the National Institutes of Health (NIH). This role will independently provide support services to satisfy the overall operational objectives.

Duties and Responsibilities:

  • Perform software development to include the definition of subsystem interface specifications, software modeling and implementing the software design. 1
  • Apply the techniques of parallel computing to computationally intensive tasks that are encountered in biomedical applications.
  • Implement algorithms for highly parallel computer structures containing many processor elements in application areas such as computational chemistry and structural biology.
  • Design software to help solve problems that arise during the development of new approaches to biomedical computing.
  • Design, develop and modify existing software to help solve scientific computing problems which involve graphics, prototype database development, genomic data analysis, modeling and simulation, and data display and presentation.
  • Establish functional requirements through discussion with investigators and observations of their methods and investigates software architectures and development of methods to improve software reusability and portability.
  • Research existing and new technologies used in medicine and scientific research to evaluate how it might be optimized and expounded upon through better technology and applications.
  • Collaborate with teams of engineers and scientists in completing phases of projects by developing subsystems or components, which are part of those projects. 3
  • Conduct theoretical and experimental studies of integrated computerized information systems. 5
  • Analyze system performance data to identify areas in need of change or improvement.
  • Maintain deep understanding of computer science theories and the latest trends and developments in computational and information sciences.
  • Provide input into software and hardware investment planning based on deep understanding of clinical necessities.
  • Develop advanced machine learning algorithms to support scientific research and medical research and business process improvement.
  • Design, build and deploy data ingest and transformation infrastructures using deep learning neural networks.
  • Design, build and maintain a robust and flexible informatics infrastructure to support datacollection from automated high through-put screens 2
  • Work with biologists and chemists to analyze data from assays and screens 4
  • Coordinate data storage and mining with NCBI and the informatics groups of other screening centers.
  • Handle large volumes of data obtained from production screening.
  • Work with staff to analyze data from all states of assay optimization and probe discovery.
  • Computer-generated work related to designing, building and maintaining informatics. infrastructure to support data collection from automated high through-put screens.
  • Computer-generated work related to coordinating data storage and data mining.
  • Work products and documents related to analyzing and handling large volumes of data.

Basic Qualifications:

  • Master’s Degree in Computer Science or similar field of study
  • Minimum of seven (7) years of experience in a related field
  • Extensive experience with one or more programming languages

Preferred Qualifications:

  • Strong communication skills, both oral and written.
  • Detail-oriented and possess strong organizational skills with the ability to prioritize multiple tasks and projects.

*This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required by this position.  

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

GAP Solutions provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job us at recruiting@gapsi.com. You will need to reference the requisition number of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a requisition number will not be returned.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.

This position is contingent upon contract award.