Senior Engineer, Radar Modeling & Simulation (Dallas/San Diego) (R4537)
Shield AI
· Dallas, Texas
· Feb 23, 2026
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. #LI-SM1
Responsibilities:
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Develop and enhance radar sensor models for use in simulation and evaluation of aeronautical vehicles.
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Translate theoretical models into efficient, reliable C++ implementations with a focus on numerical accuracy and performance.
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Validate models against real-world data and authoritative references, including field test data and calibration procedures.
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Collaborate with simulation and training application teams to ensure models integrate cleanly into operator-facing tools.
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Design automated validation and regression testing strategies for mathematical models to ensure fidelity across releases.
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Prototype and evaluate new modeling techniques (reduced-order models, uncertainty quantification, machine learning–based surrogates) to push the state of the art.
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Document assumptions, equations, and validation results so that both engineers and operators can trust model outputs.
Requirements:
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BS or higher in Aerospace Engineering, Applied Math, Physics, or related field with 5+ years of aerospace modeling experience.
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C++ foundation with experience implementing numerical methods.
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Demonstrated experience with aerospace models such as: Radar sensors, Radio communications systems
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Experience validating simulations against real-world or experimental data.
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Ability to write clear documentation explaining assumptions, limitations, and expected behaviors of models.
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1+ years of experience working on pilot/operator training systems.
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Experience with Eigen or SciPy for model prototyping and validation.
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Familiarity with state estimation sensor models (GPS, IMU, Gyro, etc) for simulation environments.
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Demonstrated experience with payload sensor models including: Laser senros, IR and optical cameras
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Knowledge of uncertainty quantification and statistical analysis methods.
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Experience with parallelization or GPU acceleration for compute-heavy models.
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Strong problem-solving mindset with a collaborative and detail-oriented approach.
Apply Now
- Company
- Shield AI
- Location
-
Dallas, Texas
More jobs in Dallas - Job Type
- Full Time Employee
- Category
- Software
- Posted
- Feb 23, 2026
- Source
- Original posting ↗