Simulation Engineer
Stark
Seniority
Midweight
Model
In-Office
Sector
Salary
Undisclosed
Contract
Full-Time
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. The work is challenging, mission-driven, and grounded in real operational needs.
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
- 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
- Create synthetic test environments for contested, degraded, and GNSS-denied conditions
- Produce technical documentation, test reports, and analysis of simulation fidelity, limitations, and results
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 SITL and HITL testing
- Experience integrating simulation with ROS2-based systems
- Good understanding of sensor simulation, actuator modeling, and system interfaces
- Experience working with Linux-based development environments
Nice to have
- A university degree in Physics, Aerospace Engineering, Robotics, Mechanical Engineering, Software Engineering, Computer Science, or a related field
- 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 in autonomous systems, aerospace, UAVs, UGVs, defence systems, or advanced robotics