Simulation Engineer (Controls)

About the role

As Simulation Engineer, you will develop and maintain high-fidelity simulation systems that help validate embedded, robotics, and unmanned platforms before they are deployed in the real world.

What you'll do

• Develop, maintain, and extend simulation environments for autonomous and unmanned systems
• Build and integrate physics-based simulation frameworks for robotics, aerospace, and embedded system validation
• Design and maintain realistic simulation scenarios for navigation, control, perception, and mission-level behavior
• Work with physics engines and simulation stacks to model vehicle dynamics, sensors, actuators, and environmental effects
• Support software-in-the-loop, system-in-the-loop, and hardware-in-the-loop testing workflows
• Integrate simulation environments with ROS2-based autonomy stacks and embedded software workflows
• Support validation and testing of guidance, navigation, control, and perception algorithms in simulated environments
• Collaborate closely with autonomy, embedded, robotics, and test engineers to ensure simulation supports real development needs

What you'll need

• Strong programming skills in C/C++ and Python
• Good understanding of physics, classical mechanics, and system dynamics
• Hands-on experience with physics engines and simulation frameworks
• Experience with NVIDIA simulation tools and/or open-source simulation stacks
• Experience with robotics or unmanned systems simulation workflows
• Experience with SITL and HITL testing
• Experience integrating simulation with ROS2-based systems
• Structured engineering mindset with strong analytical and problem-solving ability

Nice to have

• A university degree in Physics, Aerospace Engineering, Robotics, Mechanical Engineering, Software Engineering, Computer Science, or a related field
• Strong background in rigid body dynamics, flight dynamics, multibody systems, control theory, or numerical methods
• Experience with NVIDIA Isaac Sim, Isaac Lab, Omniverse, Gazebo, Ignition, AirSim, PX4 SITL, ArduPilot SITL, JMAVSim, or similar frameworks
• Experience modeling EO, IR, IMU, GNSS, barometer, lidar, radar, or camera sensors
• Experience in autonomous systems, aerospace, UAVs, UGVs, defence systems, or advanced robotics