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Parallel Computing Jobs (NOW HIRING)

The ideal candidate has a deep understanding of parallel computing, HPC frameworks, and system-level optimization, along with a passion for solving complex challenges in high-performance environments.

The ideal candidate has a deep understanding of parallel computing, HPC frameworks, and system-level optimization, along with a passion for solving complex challenges in high-performance environments.

The ideal candidate has a deep understanding of parallel computing, HPC frameworks, and system-level optimization, along with a passion for solving complex challenges in high-performance environments.

The ideal candidate has a deep understanding of parallel computing, HPC frameworks, and system-level optimization, along with a passion for solving complex challenges in high-performance environments.

The ideal candidate has a deep understanding of parallel computing, HPC frameworks, and system-level optimization, along with a passion for solving complex challenges in high-performance environments.

The ideal candidate has a deep understanding of parallel computing, HPC frameworks, and system-level optimization, along with a passion for solving complex challenges in high-performance environments.

The ideal candidate has a deep understanding of parallel computing, HPC frameworks, and system-level optimization, along with a passion for solving complex challenges in high-performance environments.

The ideal candidate has a deep understanding of parallel computing, HPC frameworks, and system-level optimization, along with a passion for solving complex challenges in high-performance environments.

Experience with parallel computing and optimization for high-performance computing environments. Ability to work collaboratively in a team and communicate complex concepts clearly to non-technical ...

... parallel computing frameworks for efficient computation. • Design and implement machine learning pipelines to preprocess data, train models, and evaluate performance metrics. • Utilize Python ...

Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming ...

Company Description Jobsbridge 10+ years of proven experience in distributed systems, parallel computing, data warehousing and analytics. 6+ years of experience in large scale hadoop compute clusters ...

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How much do parallel computing jobs pay per year?

As of May 30, 2026, the average yearly pay for parallel computing in the United States is $52,360.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $59,500.00 per year, depending on experience, location, and employer.

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 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 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 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.

More about Parallel Computing jobs
What cities are hiring for Parallel Computing jobs? Cities with the most Parallel Computing job openings:
What states have the most Parallel Computing jobs? States with the most job openings for Parallel Computing jobs include:
Infographic showing various Parallel Computing job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $52,360 per year, or $25.2 per hour.
HPC Software Architect

HPC Software Architect

Cymertek

Tysons, VA • Hybrid

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Job description

HPC Software Architect
LOCATIONTysons, VA 22182
CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship)
KEY SUMMARYWe are seeking an experienced and visionary HPC (High-Performance Computing) Software Architect to lead the design and optimization of software solutions for advanced computing systems. In this role, you will define architectures, guide development teams, and ensure that applications leverage HPC environments to deliver exceptional performance and scalability. The ideal candidate has a deep understanding of parallel computing, HPC frameworks, and system-level optimization, along with a passion for solving complex challenges in high-performance environments. If you are eager to shape the future of HPC software and work in a collaborative, cutting-edge environment, we encourage you to apply.

*** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. ***


SIMILAR CAREER TITLESHigh-Performance Computing Architect, Parallel Computing Architect, Computational Systems Architect, HPC Systems Engineer, Software Optimization Architect, Supercomputing Architect, Distributed Systems Architect, HPC Application Architect, Cluster Computing Architect, Scientific Computing Architect, Performance Engineering Architect, GPU Computing Architect, Numerical Computing Architect, Scalable Systems Architect, Data-Intensive Computing Architect, HPC Infrastructure Architect, Machine Learning Architect for HPC, Computational Framework Architect, Advanced Computing Architect, etc.
DEGREE (Level Desired)Bachelor's DegreeDEGREE (Focus)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, Cyber-Physical Systems, etc.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.
POSITION RESPONSIBILITIES
  • Design and define high-performance software architectures
  • Develop strategies for optimizing application performance on HPC systems
  • Lead the integration of software with HPC infrastructure
  • Collaborate with stakeholders to define technical requirements
  • Ensure scalability and compatibility of HPC applications
  • Oversee the development and deployment of HPC software solutions
REQUIRED SKILLS
  • Expertise in parallel programming models (e.g., MPI, OpenMP)
  • Strong knowledge of HPC system architectures and workflows
  • Experience with distributed systems and data-intensive computing
  • Proficiency in performance profiling and system-level optimization
  • Familiarity with HPC development tools and libraries (e.g., CUDA, TensorFlow)
  • Ability to design fault-tolerant and scalable solutions
DESIRED SKILLS
  • Familiarity with cloud-based HPC platforms and hybrid solutions
  • Understanding of emerging HPC technologies (e.g., quantum computing)
  • Experience with high-speed interconnects and storage systems
  • Knowledge of containerization in HPC environments (e.g., Docker, Singularity)
  • Strong communication and technical documentation skills
  • Ability to mentor teams and drive HPC best practices

PLUG IN to CYMERTEK - And design your future...
YOUR FOREVER CAREER STARTS HERE

Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development.

At our company, you come first. We're committed to creating an environment where you'll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, you'll feel valued every day.

We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community you'll never want to leave.

Ready to make your next move the best one? Join us and experience the difference.

BENEFITS
  • Excellent Salaries
  • Flexible Work Schedule
  • Cafeteria Style Benefits
  • 10% - 401k Matching (Vested Immediately)
  • Additional 401k Profit Sharing
  • 30 days Paid Leave/Holiday (No Use or Lose!)
  • The day off for your birthday
  • Medical/Dental/Vision - 100% employee coverage.($1200 allowance - or a bonus)
  • HSA/FSA
  • AFLAC
  • Long Term/Short Term Disability - 100% employee coverage. No cost to you.
  • Life Insurance - 100% employee coverage. No cost to you.
  • Additional Discretionary Life Insurance
  • Paid Training
  • No long, wordy reviews with tons of paperwork!!!
  • Referral bonus program with recurring annual payments
HOW TO APPLY

Email us at jobs@cymertek.com or apply today: www.cymertek.com

Want to see what our employees think? Click here .


EQUAL OPPORTUNITY EMPLOYER STATEMENT

Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.