Senior Robotics Engineer - Simulation

We are looking for a Senior Robotics Engineer - Simulation to design and develop high-fidelity simulation environments and digital twins for autonomous underwater vehicles (AUVs). The ideal candidate will have strong expertise in robotics simulation, physics-based modelling, ROS2 integration, and C++ development, with experience in simulation platforms such as NVIDIA Isaac Sim, Unreal Engine, or Unity.

Responsibilities:

• Develop high-fidelity marine simulation environments using NVIDIA Isaac Sim (preferred), Unreal Engine, Unity, or custom simulation frameworks.
• Model realistic ocean conditions, including currents, waves, buoyancy, hydrodynamics, turbidity, thermoclines, and underwater acoustics.
• Build accurate vehicle dynamics models, including 6-DOF motion, thruster interactions, drag, lift, added mass, and buoyancy.
• Develop realistic sensor simulations for sonar (forward-looking, side-scan, multibeam), DVL, IMU, cameras, LiDAR, and acoustic modems.
• Create digital twin infrastructure for autonomous underwater vehicles.
• Integrate simulation environments with ROS2-based autonomy stacks for SIL and HIL testing.
• Design scalable simulation pipelines supporting Monte Carlo simulations and automated regression testing.
• Validate simulation results against real-world testing data.
• Optimise simulation performance using GPU acceleration and parallel computing.
• Collaborate with autonomy, perception, controls, and embedded engineering teams.

Requirements:

• Bachelor's/Master's/PhD in robotics, computer science, mechanical engineering, game development, or a related discipline.
• 5-8 years of experience in robotics simulation, digital twin development, or physics-based simulation.
• Strong programming skills in C++.
• Hands-on experience with NVIDIA Isaac Sim (preferred), Unreal Engine, Unity, and custom simulation engines.
• Experience with ROS/ROS2 integration.
• Strong understanding of rigid body dynamics, hydrodynamics, fluid dynamics, and sensor modelling.
• Experience with Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) testing.
• Strong mathematical knowledge of linear algebra, physics, and numerical methods.