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Posted 3 months ago

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Senior Engineer, Radar Modeling & Simulation (Dallas/San Diego) (R4537)

DallasOn-siteFull-time

AI Summary

Modeling & Simulation Engineer focused on developing, implementing, and validating radar sensor models for simulation and evaluation of aeronautical systems, with emphasis on accuracy, performance, and integration into operator-facing tools.

About this role

JOB DESCRIPTION:
The Software Integration & Operations (SIO) group turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline—deterministic aircraft and 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 will be responsible for improving and adding to our sensor and communications model suite so that our operator training and internal engineering pipelines have a seamless translation from sim to real results.

What You'll Do

  • Develop and enhance radar sensor models for use in simulation and evaluation of aeronautical vehicles.
  • 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 data and 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.

    • Required Qualifications

  • BS or higher in Aerospace Engineering, Applied Math, Physics, or related field with 5+ years of aerospace modeling experience.
  • C++ foundation with experience implementing numerical methods.
  • Demonstrated experience with aerospace models such as: Radar sensors, Radio communications systems
  • Experience validating simulations against real-world or experimental data.
  • Ability to write clear documentation explaining assumptions, limitations, and expected behaviors of models.

    • Preferred Qualifications

  • 1+ years of experience working on pilot/operator training systems.
  • Experience with Eigen or SciPy for model prototyping and validation.
  • Familiarity with state estimation sensor models (GPS, IMU, Gyro, etc) for simulation environments.
  • Demonstrated experience with payload sensor models including: Laser senros, IR and optical cameras
  • Knowledge of uncertainty quantification and statistical analysis methods.
  • Experience with parallelization or GPU acceleration for compute-heavy models.
  • 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.

    • Skills

    Automatic ValidationC++CI/CDData Analysis PipelinesEigenGPU AccelerationHIL/VIL IntegrationIR And Optical CamerasLaser SensorsMachine Learning SurrogatesNumerical MethodsParallelizationPayload Sensor ModelsPythonRadar Sensor ModelsReduced Order ModelsRegression TestingSciPySimulationState Estimation Models (GPS, IMU, Gyro)Uncertainty Quantification

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