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.

Were 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