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$123.4K

$190.5K

How much do computer science modeling simulation engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for computer science modeling simulation engineer in the United States is $123,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $146,500.00 per year, depending on experience, location, and employer.

What does a computer science modeling simulation engineer do?

A Computer Science Modeling Simulation Engineer designs, develops, and implements computer-based models and simulations to analyze complex systems or predict their behavior. They use programming, mathematical modeling, and data analysis techniques to create virtual representations of real-world processes, such as physical phenomena, engineering systems, or business operations. Their work helps organizations test scenarios, optimize performance, and make better decisions without the risks or costs of real-world experimentation.

What are the key skills and qualifications needed to thrive as a computer science modeling simulation engineer?

To thrive as a Computer Science Modeling Simulation Engineer, you need strong programming skills (such as Python, C++, or MATLAB), a solid foundation in mathematics, and typically a degree in computer science, engineering, or a related field. Familiarity with simulation software (e.g., Simulink, Arena) and experience using modeling tools or high-performance computing environments are highly valued. Excellent analytical thinking, problem-solving, and communication skills help you interpret complex systems and collaborate with interdisciplinary teams. These skills are crucial for developing accurate models, optimizing simulations, and delivering actionable insights for engineering or research projects.

What are some common challenges faced by computer science modeling simulation engineers when integrating new models into existing systems?

Computer Science Modeling Simulation Engineers often encounter challenges when integrating new models, such as ensuring compatibility with legacy systems, managing data consistency, and maintaining computational efficiency. These professionals must rigorously test models to prevent disruptions in system performance, and often collaborate closely with software developers, data scientists, and stakeholders to address integration issues. Effective communication and thorough documentation are crucial to smoothly incorporate new simulations into complex, real-world environments.

What are popular job titles related to Computer Science Modeling Simulation Engineer jobs?

For Computer Science Modeling Simulation Engineer jobs, the most frequently searched job titles are:

Infographic showing various Computer Science Modeling Simulation Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $123,399 per year, or $59.3 per hour.

Modeling and Simulation Engineer

Chantilly, VA • On-site

APEX TK LLC
See more jobs at APEX TK LLCexternal

Other

Re-posted 20 days ago

Job description

APEX TK is seeking a highly motivated and skilled Modeling & Simulation Engineer to join our team supporting a critical government client. This position offers the opportunity to work on cutting‑edge projects within the aerospace domain.

Responsibilities
  • Define modeling requirements from user needs and system architecture and develop scripts to automate scenario modeling and performance analysis.
  • Perform advanced modeling related to orbital mechanics (orbit determination, orbital maneuvering, and spacecraft flight dynamics) and/or sensor phenomenology (optics/radar/RF).
  • Use and develop cutting‑edge modeling and simulation tools and algorithms to help address some of the most challenging issues regarding Space Situational Awareness (SSA) for the Intelligence Community (IC) and Department of Defense (DOD).
  • Develop code/scripts to develop algorithms, perform analyses, and automate data processing to model space conflict scenarios for system evaluation and mission effectiveness.
  • Work in a collaborative team environment studying and analyzing a wide variety of interesting and complex problems in the Space domain.
  • Incorporate phenomenological modeling principles into relevant models and simulations.
Required Qualifications
  • 2–10 years of relevant experience.
  • Bachelor’s Degree in a STEM related field such as Engineering, Mathematics, Physics, Aerospace, Computer Science, etc.
  • Active Top Secret/SCI w/ CI Poly Clearance.
  • Experience performing space‑related engineering analysis (collecting, organizing, analyzing data) using one or more of the following: C++, Python, R, SQL, PostgreSQL, Linux, MATLAB, VBA, or STK.
  • Ability to communicate findings and recommendations to internal and external customers.
  • Solid understanding of orbital mechanics and space systems.
  • Experience with phenomenological models, including a demonstrated ability to model relevant physical phenomena and validate those models.
Preferred Qualifications
  • Master’s degree in a STEM related field.
  • Experience with other simulation tools and programming languages.
  • Experience with non‑cooperative target tracking.
  • Experience with collection & revisit modeling.
  • Knowledge of cloud computing platforms (e.g., AWS, Azure).
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