# Senior Engineer, Radar Modeling & Simulation

**Company**: X-BAT Division – X-BAT Engineering - Software
**Location**: Dallas, Texas / San Diego, California
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: $105,000 - $200,000 a year
**Category**: Engineering
**Industry**: Automotive

**Apply**: https://jobs.lever.co/shieldai/5118a08f-4ae8-431f-a06f-6dba3eaff113
**Canonical**: https://yubhub.co/jobs/job_d04b0aff-768

## Description

The Software Integration & Operations 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.

### Responsibilities

- 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.

### Requirements

- 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.

### Preferences

- 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 sensors, 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

### Required
- C++
- Numerical methods
- Aerospace models
- Radar sensors
- Radio communications systems

### Nice to have
- Eigen
- SciPy
- State estimation sensor models
- Laser sensors
- IR and optical cameras
- Uncertainty quantification
- Statistical analysis methods
- Parallelization
- GPU acceleration
- Python
- Test automation
- Data analysis pipelines