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MARSS
Actively hiring

UK - Simulation & Modelling Engineer – Autonomous Systems

Workplace
Hybrid
Commitment
Full-time
Posted
Location
Bristol, United Kingdom

We are looking for a Simulation & Modelling Engineer to develop and maintain simulation tools supporting the development of an advanced Interceptor UAV system. The role will focus on creating representative models and virtual environments to support GNC, AI/ML perception and overall system performance assessment, reducing reliance on physical testing and accelerating design iteration.

Responsibilities

  • Develop and maintain UAV simulation models, including vehicle dynamics, sensors and key environmental effects.
  • ​Develop simulation environments to test GNC algorithms and AI/ML-based image processing using tools such as MATLAB/Simulink, Unreal Engine or equivalent.
  • ​Create representative mission scenarios and synthetic sensor inputs for algorithm development and testing.
  • Develop and run Monte Carlo simulations across different operating conditions, uncertainties and system parameters.
  • Analyse simulation results to identify performance limitations, sensitivities and opportunities for design improvement.
  • Support Software-in-the-Loop (SIL) and system integration testing.
  • ​Correlate simulation results with ground and flight-test data to improve model accuracy.
  • ​Work closely with GNC, AI/ML, Systems and Flight Test engineers to support 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.
  • ​Strong analytical and problem-solving skills.

Nice to have

  • Experience with Unreal Engine, AirSim, Gazebo or similar simulation environments.
  • Experience supporting development of autonomous systems.
  • ​Familiarity with AI/ML-based computer vision and synthetic image generation.
  • Experience with SIL/HIL testing or integration of flight software/autopilots.
  • ​Experience analysing or correlating models against flight-test data.