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Robotics Simulation Engineer – UAV Behavior & Testing (Gazebo, AirSim) (m/w/d) all levels, Munich
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Client:
autonomous-teaming
Location:
Job Category:
Other
-
EU work permit required:
Yes
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Job Reference:
e3edfee47cc4
Job Views:
3
Posted:
26.06.2025
Expiry Date:
10.08.2025
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Job Description:
Your mission
- Develop realistic simulation environments for UAV behavior testing and swarm coordination
- Implement physics-based models for flight dynamics, sensor fusion, and obstacle avoidance
- Create virtual testbeds for UAV autonomy, reinforcement learning, and mission planning
- Integrate multi-agent swarm simulation for real-time UAV coordination and decision-making
- Work with HIL (Hardware-in-the-Loop) and SIL (Software-in-the-Loop) frameworks
- Optimize AI-driven simulation workflows for UAV perception and control validation
- Collaborate with AI, robotics, and embedded teams to ensure simulation-to-reality consistency
Your profile
- 3+ years experience in robotics simulation and UAV modeling
- Strong expertise in Gazebo, AirSim, PyBullet, CARLA, or Unreal Engine for UAV simulation
- Proficiency in C++, Python, or Rust for real-time simulation development
- Experience with ROS2, DDS, and real-time UAV control frameworks
- Knowledge of multi-agent reinforcement learning (MARL) and AI-driven simulation environments
- Understanding of sensor modeling for Radar, Lidar, EO/IR, RF, and Acoustic systems
Your mission
- Develop realistic simulation environments for UAV behavior testing and swarm coordination
- Implement physics-based models for flight dynamics, sensor fusion, and obstacle avoidance
- Create virtual testbeds for UAV autonomy, reinforcement learning, and mission planning
- Integrate multi-agent swarm simulation for real-time UAV coordination and decision-making
- Work with HIL (Hardware-in-the-Loop) and SIL (Software-in-the-Loop) frameworks
- Optimize AI-driven simulation workflows for UAV perception and control validation
- Collaborate with AI, robotics, and embedded teams to ensure simulation-to-reality consistency
Your profile
- 3+ years experience in robotics simulation and UAV modeling
- Strong expertise in Gazebo, AirSim, PyBullet, CARLA, or Unreal Engine for UAV simulation
- Proficiency in C++, Python, or Rust for real-time simulation development
- Experience with ROS2, DDS, and real-time UAV control frameworks
- Knowledge of multi-agent reinforcement learning (MARL) and AI-driven simulation environments
- Understanding of sensor modeling for Radar, Lidar, EO/IR, RF, and Acoustic systems
Nice to have
- Experience in high-fidelity aerodynamics modeling and UAV swarm behavior
- Background in AI-powered scenario generation and adversarial simulation
- Knowledge of cloud-based distributed simulation environments
Meta- Outside of the box creativity, conceptional & systematic design thinking, disciplined execution
- Servant leader mindset, placing team success over ego
- Highest moral standards and work ethic
- We value extra-curricular responsibilities and achievements in your biography
- Intrinsic motivation, willing to go the extra mile, attention to detail
- Fluent in English
- Nationality of a NATO member nation or close ally is a must
- Successful candidates will be required to obtain security clearance
About us
We are adefence-techstart-up specializing in machine vision solutions.If youhave a passion forcutting-edgeinnovation,anddriveto use your skillsto createnext generationsolutions, thisis an opportunity for you!
What We Do: We are developing solutions that enable computers and sensors to collaborate as teams, working together to address emerging security challenges. Our primary mission is to defend against AI-powered asymmetric threats at scale, such as drone swarms and other UXVs.
Who We Are: Based in Munich, Berlin and Bochum we are rapidly expanding across Europe with plans to open more office hubs soon. We embrace a hybrid work culture—valuing the collaboration that happens in the office, while also empowering our team members to work remotely with responsibility and autonomy.