A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
We are seeking a Software Engineer with a deep understanding of Modeling & Simulation (M&S) paradigms to support software development lifecycle tasks for NAWCAD WOLF's ATC&LS missions in Patuxent River, MD. This role focuses on the design, code generation, and implementation of robust simulation software models, user interfaces, and discrete-event simulators. Your software tools will evaluate air traffic management capabilities, simulate high-density airspace environments, and evaluate predictive analytics for automated decision-support systems.
Architect, develop, and refactor high-performance simulation software used to evaluate terminal air traffic control architectures, landing dynamics, and multi-sensor processing algorithms.
Scenario Generation:
Develop and program flexible scenario generation software engines to replicate complex operational environments, electronic interference, and variable meteorological conditions for testing. UI/UX for
Simulation Labs:
Design and implement user interfaces and visualization dashboards for flight-deck, carrier ops, or shore-based ATC simulation laboratories.
Code Integration & Optimization:
Integrate discrete physics-based and statistical mathematical models into broader distributed simulation networks (e.g., HLA/DIS protocols).
Software QA & Lifecycle Support:
Conduct object-oriented analysis, unit testing, and software integration testing to fulfill rigorous software safety and technical compliance frameworks.
Requirements:
Education:
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related computational field.
Experience:
5+ years of software engineering experience with specific focus on building, tuning, or maintaining simulation engines.
Technical Skills:
Mastery of object-oriented programming languages, specifically C++, Java, or Python, within both Windows and Linux deployment environments. Hands-on experience utilizing distributed simulation interoperability standards, specifically High-Level Architecture (HLA) or Distributed Interactive Simulation (DIS). Familiarity with version control pipelines (Git/GitLab), CI/CD practices, and Agile software development workflows.
Preferred:
Experience modeling sensor tracking algorithms, automated landing algorithms, or unmanned aerial systems (UAS) airspace integration behaviors.
Citizenship & Security:
Must be a U.S. Citizen. Must be eligible to obtain and maintain a U.S. Secret Security Clearance.
