Simulation Engineer (Controls) - (All Genders)

About Us STARK is a new kind of defence technology company revolutionising the way autonomous systems are deployed across multiple domains. We design, develop and manufacture high performance unmanned systems that are software-defined, mass-scalable, and cost effective. This provides our operators with a decisive edge in highly contested environments.

We’re focused on delivering deployable, high-performance systems—not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe—today.

Your mission This role demands more than standard simulation engineering. Working in defence technology means operating close to the realities of modern conflict and building simulation environments that must reliably support development, validation, and mission preparation in demanding conditions. The work is challenging, mission-driven, and grounded in real operational needs.

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.

Responsibilities •

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

•

Develop and maintain SITL and HITL test setups for embedded systems, autonomy software, and robotic platforms

•

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

•

Create synthetic test environments for contested, degraded, and GNSS-denied conditions

•

Develop interfaces between simulators, autopilots, middleware, and edge software systems

•

Conduct debugging, verification, and performance analysis across simulation and real-system interfaces

•

Collaborate closely with autonomy, embedded, robotics, and test engineers to ensure simulation supports real development needs

•

Produce technical documentation, test reports, and analysis of simulation fidelity, limitations, and results

Qualifications •

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

•

Strong debugging, validation, and testing skills

•

Good understanding of sensor simulation, actuator modeling, and system interfaces

•

Experience working with Linux-based development environments

•

Ability to build reliable simulation pipelines for software development, test, and validation

•

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 with GPU-accelerated simulation, rendering, or synthetic data generation

•

Experience modeling EO, IR, IMU, GNSS, barometer, lidar, radar, or camera sensors

•

Experience with Monte Carlo analysis, scenario generation, and simulation-based validation

•

Understanding of aerodynamic modeling, propulsion modeling, and environmental effects such as wind and turbulence

•

Experience with real-time simulation constraints and hardware interfacing for HITL setups

•

Experience in autonomous systems, aerospace, UAVs, UGVs, defence systems, or advanced robotics

•

Familiarity with embedded systems, middleware, and autonomy software stacks

•

Experience supporting field tests by correlating simulation results with real-world data

If you´re interested in building the future of European Defence with us, and you see yourself reflected in the description above, please send us your CV in English. We´re looking forward to meeting you!