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Computational Engineering information

See Virginia salary details

$48.1K

$120.5K

$136.3K

How much do computational engineering jobs pay per year?

As of Aug 7, 2026, the average yearly pay for computational engineering in Virginia is $120,473.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $130,400.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a computational engineer?

To thrive as a Computational Engineer, a strong background in mathematics, computer science, and engineering fundamentals is essential, generally supported by a degree in computational engineering or a related field. Familiarity with programming languages like Python, MATLAB, or C++, as well as experience using simulation software and high-performance computing systems, is typically required. Analytical thinking, effective communication, and problem-solving abilities are important soft skills for collaboration and innovation. These competencies enable Computational Engineers to develop accurate models, optimize complex systems, and deliver efficient solutions in multidisciplinary environments.

What does a computational engineer do?

A computational engineer develops and applies mathematical models, algorithms, and simulations to solve complex engineering problems. They often use programming languages and software tools to analyze data, optimize systems, and improve designs in fields such as aerospace, automotive, or energy. Strong skills in programming, numerical methods, and problem-solving are essential for this role.

Is computational engineering in demand?

Computational engineering is in high demand across industries such as aerospace, automotive, and energy, where advanced simulations and modeling are essential. Professionals with skills in programming, numerical methods, and software tools like MATLAB or Python are sought after for their ability to optimize designs and solve complex problems.

What are some common challenges computational engineers face in their work?

Computational Engineers often encounter complex, large-scale problems that require developing accurate and efficient computational models, which can be challenging due to intricacies in physical systems or computational resource limitations. Managing tight project deadlines while ensuring high-quality results and adapting to rapidly evolving technology are also common aspects of the role. Collaboration across multidisciplinary teams—often with scientists, designers, or other engineers—requires strong communication and adaptability. Embracing these challenges can help Computational Engineers expand their expertise and positively impact project outcomes.

What is a computational engineer?

A Computational Engineering job involves using mathematical models, algorithms, and computer simulations to analyze and solve engineering problems. It combines principles from computer science, applied mathematics, and engineering to improve product design, optimize systems, and enhance efficiency in various industries. Professionals in this field develop software tools, conduct simulations, and utilize high-performance computing to solve complex engineering challenges in areas such as aerospace, automotive, energy, and healthcare.

What are the most commonly searched types of Computational Engineering jobs in Virginia? The most popular types of Computational Engineering jobs in Virginia are:
What are popular job titles related to Computational Engineering jobs in Virginia? For Computational Engineering jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Computational Engineering jobs in Virginia look for? The top searched job categories for Computational Engineering jobs in Virginia are:
Computational Engineering jobs near you
Infographic showing various Computational Engineering job openings in Virginia as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $120,473 per year, or $57.9 per hour.

Scientific Software Developer (DC, NoVA)

Stellar Science

Vienna, VA • On-site

Full-time

Re-posted 28 days ago

Job description

We hire smart Scientists and Software Engineers who love to create and maintain high quality, extensible code using modern C++ practices.
Support software development in the following domains: computer vision and image processing, image simulation, laser or high-power microwave source generation and effects modeling, atmospheric modeling, computational electromagnetics (CEM), space domain awareness (SDA), high performance computing (HPC), computer aided design (CAD) tools, artificial intelligence (AI) and machine learning (ML) techniques, among others.
Minimum Requirements:
  • B.S. in math, science, computational engineering, an engineering field, or computer science
  • Substantial software development experience
  • Object-oriented development and C++ programming experience
  • Adept at learning new paradigms and programming development processes
  • Enthusiasm for developing modern, high-quality C++23 code
  • U.S. citizen, willing to undergo background investigation, and perform some work at government and/or customer sites

Desired:
  • Advanced degree (M.S. or Ph.D.) in science, an engineering field, math, or computer science
  • Active security clearance

Experience in any of the following is a plus:
  • Additional languages: Python, Java, TypeScript
  • C++ Boost, Eigen libraries
  • Cross-platform software development on Linux and Windows
  • 3D graphics using OpenGL, Open Scene Graph, Vulkan, and/or WebGL
  • User interface development with Qt, Material UI, Java Swing
  • Supercomputing: OpenMP, threads, MPI, GPUs/CUDA/Optix
  • Image processing, imagery analysis, or computer vision, computer aided design (CAD)
  • Aerospace vehicles, orbital mechanics, electromagnetics, space domain awareness
  • Spacecraft subsystem modeling
  • Modeling and simulation, including directed energy
  • Machine learning and data analysis using Python (pandas, NumPy, SciPy, scikit-learn), C++, and frameworks such as PyTorch and TensorFlow
  • Reinforcement learning, large language model development, computer vision, data mining, and core ML techniques (classification, regression, clustering)
  • Experience with Advanced Framework for Simulation Integration & Modeling (AFSIM)
  • Experience with client- and server- side web applications
  • Experience or interest in building collaborative web tools

A representative sample of your code may be requested early in the evaluation process, e.g. something you've written for work, for a class, or for fun. It should be long enough to help evaluate your programming and software engineering skills.
 

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