Senior Engineer, Aeronautical Modeling & Simulation; Dallas​/San Diego; R4538

JOB DESCRIPTION:

The Software Integration & Operations (SIO) group turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline—deterministicaircraftand mission simulation, HIL/VIL integration, CI/CD, automated flight qualification testing, and release engineering. Our goal is simple: make AI fly—safely, repeatably, and fast.

As a Modeling& Simulation Engineer, you willbe responsible for improving and adding to our world and aeronautical models so that our operator training and internal engineering pipelines have a seamless translation from sim toreal results.

• Develop and enhanceaeronauticalphysics models (aerodynamics, propulsion, environmental,structural, etc.) for use in simulation and evaluation.
• Translate theoretical models into efficient, reliable C++ implementations with a focus on numerical accuracy and performance.
• Validate models against real-world data and authoritative references, including field test dataand calibration procedures.
• Collaborate with simulation and training application teams to ensure models integrate cleanly into operator-facing tools.
• Design automated validation and regression testing strategies for mathematical models to ensure fidelity across releases.
• Prototype and evaluate new modeling techniques (reduced-order models, uncertainty quantification, machine learning–based surrogates) to push the state of the art.
• Document assumptions, equations, and validation results so that both engineers and operators can trust model outputs.

• BS or higher in Aerospace Engineering, Applied Math, Physics, or related field with1+ years ofaerospacemodeling experience.
• C++ foundation with experience implementing numerical methods.
• Demonstrated experience with aerospace models such as:
  
  Aerodynamics (lift/drag curves, stability derivatives, dynamic response), Atmosphere/environment (COESA, ICAO, gravity, wind models), Vehicle dynamics

• 1+ years of experience working on pilot/operator training systems.
• Experience with Eigen or Sci Py for model prototyping and validation.
• Familiarity withstate estimation sensor models (GPS, IMU,Gyro,etc) for simulation environments.
• Background in multi-body dynamics or flight mechanics
• Knowledge of uncertainty quantification and statistical analysis methods.
• Strong problem-solving mindset with a collaborative and detail-oriented approach.
• Familiarity with Python for test automation and data analysis pipelines.
• Passion for aerospace and autonomous vehicle systems.