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Simulation & Modelling Engineer – Autonomous Systems
MARSS GroupSimulation and Modelling Engineer developing UAV models, synthetic environments and Monte Carlo analyses for an advanced interceptor system. Supporting GNC, AI/ML perception and flight-test validation at a UK defence laboratory.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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 DevelopmentMATLAB/SimulinkMonte Carlo SimulationFlight DynamicsAI/ML-Based Image Processing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Dynamic System SimulationNumerical ModellingSensitivity AnalysisPerformance ModellingSoftware-in-the-Loop TestingSystem Integration TestingFlight-Test Data CorrelationControl SystemsSynthetic Image GenerationAutonomous Systems Development
Soft Skills
Analytical SkillsProblem-Solving SkillsCollaboration
Tools & Technologies
Unreal EngineAirSimGazeboPython
Industry Keywords
Aerospace EngineeringMechanical EngineeringSystems EngineeringRoboticsAutonomous Systems
Tech Stack
Tools & technologiesPythonUnreal Engine
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Benefits
Comp & perks- Flexible working patterns, including start and finish times and remote working
- Healthy work-life balance
- Inclusive and diverse working environment
- Opportunity to contribute and succeed in a respectful workplace