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Parallel Programming Jobs in Washington (NOW HIRING)

SourceFly LLC

Systems Engineer

Fort Belvoir, VA · On-site

Proficient in object-oriented programming, multithreaded/parallel programming (OpenMP, CUDA, or OpenCL a plus) * Familiarity with GUI/UI/UX development and networking protocols (REST APIs, WebSocket)

Cymertek

HPC Software Engineer

Chantilly, VA · On-site

The ideal candidate has a strong background in parallel programming, an understanding of HPC architectures, and a passion for tackling technical challenges. If you are excited by the opportunity to ...

Cymertek

HPC Software Engineer

Annapolis Junction, MD · On-site

The ideal candidate has a strong background in parallel programming, an understanding of HPC architectures, and a passion for tackling technical challenges. If you are excited by the opportunity to ...

Cymertek

HPC Software Engineer

Tysons, VA · On-site

The ideal candidate has a strong background in parallel programming, an understanding of HPC architectures, and a passion for tackling technical challenges. If you are excited by the opportunity to ...

Cymertek

HPC Software Engineer

Reston, VA · On-site

The ideal candidate has a strong background in parallel programming, an understanding of HPC architectures, and a passion for tackling technical challenges. If you are excited by the opportunity to ...

Cymertek Corporation

HPC Software Engineer

Chantilly, VA · On-site

Required : • Proficiency in parallel programming languages (e.g., MPI, OpenMP) • Strong understanding of HPC architectures and clusters • Experience with performance profiling and tuning tools ...

New

Cymertek Corporation

HPC Software Engineer

Reston, VA · On-site

Required : • Proficiency in parallel programming languages (e.g., MPI, OpenMP) • Strong understanding of HPC architectures and clusters • Experience with performance profiling and tuning tools ...

New

SW Complete

Systems Integration Engineer

Columbia, MD · On-site

$164K/yr

... parallel programming methods such as OpenSHMEM, pthreads, Open MPI, and UPC Recommended Qualifications Experience with automating system procedures/tasks and using benchmarks to confirm subsystem ...

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Parallel Programming information

See Washington salary details

$91.7K

$125.4K

$147.2K

How much do parallel programming jobs pay per year?

As of Jul 11, 2026, the average yearly pay for parallel programming in Washington is $125,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,100.00 and $135,300.00 per year, depending on experience, location, and employer.

What is a Parallel Programming job?

A Parallel Programming job involves developing software that can execute multiple tasks or computations simultaneously to improve performance and efficiency. Professionals in this field work with multi-core processors, distributed systems, and GPU computing to optimize software for speed and scalability. They typically use programming models like MPI, OpenMP, or CUDA to implement parallelism. Industries such as high-performance computing, data science, and machine learning heavily rely on parallel programming to handle large-scale computations.

What are some typical challenges encountered in a Parallel Programming role?

Professionals in parallel programming often face challenges such as identifying code sections that can be effectively parallelized, managing data dependencies, and handling synchronization between parallel tasks. Debugging and optimizing performance in multi-threaded or distributed environments can also be complex, requiring patience and attention to detail. Collaboration with data scientists, hardware engineers, and other software developers is common, as projects frequently involve cross-functional teamwork. Overcoming these challenges is a rewarding part of the job, leading to faster, more efficient software solutions that can have a significant impact in fields like scientific computing, finance, and machine learning.

What are the key skills and qualifications needed to thrive in the Parallel Programming position, and why are they important?

To excel in Parallel Programming, you need a solid background in computer science, strong proficiency in languages such as C/C++, Python, or Java, and experience with parallel computing frameworks. Familiarity with tools like OpenMP, MPI, CUDA, or parallel processing libraries, as well as relevant certifications or coursework, is highly valuable. Analytical thinking, collaboration, and effective problem-solving are essential soft skills for success in this role. These competencies enable professionals to efficiently develop, debug, and optimize scalable applications in high-performance computing environments.

What are the most commonly searched types of Parallel Programming jobs in Washington? The most popular types of Parallel Programming jobs in Washington are:
What are popular job titles related to Parallel Programming jobs in Washington? For Parallel Programming jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Parallel Programming jobs in Washington look for? The top searched job categories for Parallel Programming jobs in Washington are:
Parallel Programming jobs near you
Infographic showing various Parallel Programming job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 2% Contract, and 1% Summer. Highlights an 74% Physical, 5% Hybrid, and 21% Remote job distribution, with an average salary of $125,449 per year, or $60.3 per hour.

Systems Engineer

SourceFly LLC

Fort Belvoir, VA • On-site

Full-time

Re-posted 6 days ago

Job description


We are seeking a Systems Engineer with strong software development expertise to support the development of command and control software for a cutting-edge application. This role requires a true engineer-not just a software developer-capable of designing, integrating, and managing complex hardware-software interactions across multiple subsystems. The selected candidate will join our team working on-site at Ft. Belvoir to advance mission-critical experimental systems.
Responsibilities:
  • Design, develop, and implement command and control software for LIDAR payload systems
  • Interface with GPS/GNSS equipment, scanning mirrors, lasers, and laboratory devices (e.g., time delay generators, oscilloscopes)
  • Ensure precise timing synchronization and high-rate data acquisition across subsystems
  • Develop remote operations capabilities, including subsystem command execution and telemetry return
  • Program across Windows and Linux environments, with focus on performance, reliability, and scalability
  • Document algorithms, interfaces, and system designs through UML diagrams and software ICDs
  • Collaborate with engineers and scientists on integration, testing, and field experimentation
Qualifications:
  • Must hold an active DoD Secret security clearance (Top Secret preferred)
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, or related field
  • 3-5 years of engineering experience with software development for hardware-integrated systems
  • Proficientin programming in both Windows and Linux environments
  • Proficiency in C, C++, or Rust (assembly and high-performance computing experience a plus).
  • Experience with Python; Flask experience a plus
  • Skilled in embedded systems programming (microcontrollers; FPGA experience a plus, experience interfacing with laboratory measurement equipment is a plus)
  • Experience with laboratory equipment integration and data acquisition.
  • Proficient in object-oriented programming, multithreaded/parallel programming (OpenMP, CUDA, or OpenCL a plus)
  • Familiarity with GUI/UI/UX development and networking protocols (REST APIs, WebSocket).
  • Experiencedocumenting and communicating algorithms/code through UML diagrams andsoftware ICDs
  • Experiencewith networking/network programming a plus (e.g. experience working withREST APIs or WebSocket)
  • Strong communication skills for technical documentation and cross-team collaboration
Desired Skills
  • Experience with SIMD/MIMD parallel programming
  • Experience in high-throughput data recording and storage optimization
  • Prior work with remote command and control of scientific payloads

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