Simulation & Modelling Engineer – Autonomous Systems

Jobtailor; West of England; On-site; GBP 50,000 - 80,000; Full time

Job summary

Jobtailor seeks an experienced UAV simulation engineer to develop and maintain models of vehicle dynamics, sensors and environment. You will build simulation environments for GNC algorithms and AI/ML-based image processing using MATLAB/Simulink, Unreal Engine or equivalents.

You will create mission scenarios, run Monte Carlo simulations, and analyze results to improve model accuracy. Collaborate across GNC, AI/ML, Systems and Flight Test teams on UAV development and verification.

Qualifications

• Experience developing dynamic system simulations, ideally for UAVs, aerospace, robotics or autonomous systems.
• Strong experience with MATLAB/Simulink and/or Python.
• Understanding of flight dynamics, control systems and numerical modelling.
• Experience with Monte Carlo simulation, sensitivity analysis or performance modelling.
• Experience with SIL/HIL testing or flight software/autopilot integration preferred.
• Experience analysing or correlating models against flight-test data.

Responsibilities

• Develop and maintain UAV simulation models covering vehicle dynamics, sensors and environmental effects
• Develop simulation environments for GNC algorithms and AI/ML-based image processing using MATLAB/Simulink, Unreal Engine or equivalent
• Create mission scenarios and synthetic sensor inputs for algorithm development and testing
• Develop and run Monte Carlo simulations across operating conditions, uncertainties and system parameters
• Analyse simulation results to identify performance limitations, sensitivities and design improvements
• Support Software-in-the-Loop and system integration testing
• Correlate simulation results with ground and flight-test data to improve model accuracy
• Collaborate with GNC, AI/ML, Systems and Flight Test engineers on UAV development and verification

Skills

UAV Simulation

MATLAB/Simulink

Python

Flight Dynamics

Analytical Skills

Education

Bachelor’s or Master’s degree in Aerospace/Mechanical/Systems Engineering

Tools

Unreal Engine

AirSim

Gazebo

Job description

• Develop and maintain UAV simulation models covering vehicle dynamics, sensors and environmental effects
• Develop simulation environments for GNC algorithms and AI/ML-based image processing using MATLAB/Simulink, Unreal Engine or equivalent
• Create mission scenarios and synthetic sensor inputs for algorithm development and testing
• Develop and run Monte Carlo simulations across operating conditions, uncertainties and system parameters
• Analyse simulation results to identify performance limitations, sensitivities and design improvements
• Support Software-in-the-Loop and system integration testing
• Correlate simulation results with ground and flight-test data to improve model accuracy
• Collaborate with GNC, AI/ML, Systems and Flight Test engineers on UAV development and verification

Requirements

• Degree in Aerospace, Mechanical, Systems Engineering, Physics, Applied Mathematics or a related discipline
• Experience developing dynamic system simulations, ideally for UAVs, aerospace, robotics or autonomous systems
• Strong experience with MATLAB/Simulink and/or Python
• Understanding of flight dynamics, control systems and numerical modelling
• Experience with Monte Carlo simulation, sensitivity analysis or performance modelling
• Experience with Unreal Engine, AirSim, Gazebo or similar simulation environments preferred
• Experience supporting autonomous systems development preferred
• Familiarity with AI/ML-based computer vision and synthetic image generation preferred
• Experience with SIL/HIL testing or flight software/autopilot integration preferred
• Experience analysing or correlating models against flight-test data preferred
• Strong analytical and problem-solving skills
• Ability to work across software, modelling and physical-system behaviour
• Comfortable working with multiple engineering disciplines in a small, tight-knit team

Core Competencies

Demonstrates expertise in developing and maintaining UAV simulation models, with strong capabilities in MATLAB/Simulink and Python. Proficient in analyzing simulation results and collaborating across engineering disciplines to enhance UAV performance and accuracy.

Highest-signal resume keywords

• UAV Simulation Development
• MATLAB/Simulink
• Monte Carlo Simulation
• Flight Dynamics
• AI/ML-Based Image Processing

ATS Optimization Keywords

Hard Skills

• Dynamic System Simulation
• Numerical Modelling
• Sensitivity Analysis
• Performance Modelling
• Software-in-the-Loop Testing
• System Integration Testing
• Flight-Test Data Correlation
• Control Systems
• Synthetic Image Generation
• Autonomous Systems Development

Soft Skills

• Analytical Skills
• Problem-Solving Skills
• Collaboration

Industry Keywords

• Aerospace Engineering
• Mechanical Engineering
• Systems Engineering
• Robotics
• Autonomous Systems

Tools & Technologies

• Unreal Engine
• AirSim
• Gazebo
• Python