The engineer will develop and validate models of radar systems, RF propagation, and radar cross section (RCS) to support design, performance assessment, and algorithm development. The role emphasizes hands-on system-level modeling, scripting, simulation verification, and collaboration with system engineers and test teams. This position is part of the EDGE IGNITE PROGRAM.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
Key Responsibilities:
- Develop, implement, and validate mathematical and simulation models of radar systems and subsystems (transmit/receive chains, waveforms, signal processing).
- Model RF propagation effects (free space, multipath, ducting, clutter, atmospheric attenuation) for scenario-based analysis.
- Create and analyze RCS models for targets using CEM tools and simplified analytical/empirical approaches.
- Build and run end-to-end system simulations to evaluate detection, tracking, jamming susceptibility, and EW countermeasure performance.
- Write, test, and maintain simulation code and scripts in Matlab, Python, and/or Julia.
- Use CEM software (e.g., HFSS, CST, FEKO, WIPL D or similar) to perform RCS and antenna pattern simulations; process and integrate results into system models.
- Validate models against measurements and test data; perform sensitivity and uncertainty analyses.
- Produce concise technical reports, plots, and presentation materials for engineering review and stakeholders.
Required Qualifications & Skills:
- Bachelor’s degree in Electronic or Electrical Engineering, Math, Physics, or Statistics.
- Practical experience or coursework using Matlab and Python; basic exposure to computational electromagnetic (CEM) tools for RCS/antenna simulation (academic projects, internships, or coursework).
- Good programming practices: scripting, data visualization, numerical methods, and debugging.
- Analytical mindset, problem-solving ability, and attention to numerical/experimental validation.
