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Simulation Engineer Security Clearance

Job in Reston, Fairfax County, Virginia, 22090, USA
Listing for: Data Machines
Full Time position
Listed on 2026-09-01
Job specializations:
  • Software Development
    Data Scientist, Machine Learning/ ML Engineer, Software Engineer, Python
Salary/Wage Range or Industry Benchmark: 80000 - 150000 USD Yearly USD 80000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Simulation Engineer with Security Clearance

Location:

Reston, VA Clearance Requirement:
Secret Salary Range: $80,000-$150,000

Job Description and Responsibilities

Data Machines seeks an energetic Simulation Engineer with the desire to work with our team supporting the development and production of cutting-edge defense and intelligence simulation capabilities. The ideal candidate will use operations research and software development skills to encode custom agent behaviors and interfaces for, and apply Artificial Intelligence and Machines Learning to, discrete event simulations, creating interfaces between the simulation and external software, and use statistical routines to conduct post-processing of simulation-generated data and provide insights in machine-readable and human-readable formats.

Candidates should have strong problem-solving skills, software development experience, and an excitement for cutting-edge defense and intelligence capabilities. Join us as we work to solve some of the industry's biggest challenges. Data Machines fosters a culture of professional growth and development in a collaborative, open environment.

Minimum Qualifications
  • BS in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related quantitative or mathematical discipline
  • Experience encoding functions in Python, C++, or C#
  • SECRET clearance
Preferred Qualifications
  • Experience encoding one of the following: AFSIM, NGTS, OneSAF, GCAM, Command PE, STORM
  • Experience with distributed simulations
  • TS clearance with SCI eligibility
Education
  • BS in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related quantitative or mathematical discipline.
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