- Collaborate with research and applied engineering teams across multiple projects
- Explore, design, and implement advanced robotics and AI solutions from simulation environments to real robotic platforms
- Contribute to Physical AI, Embodied AI, Autonomous Systems, and Sim-to-Real workflows
- Build intelligent robotic systems using modern software engineering practices from simulation through real-world deployment
- Develop and optimize robotics workflows using simulation environments, digital twins, 3D technologies, and computer graphics
- Apply AI, Machine Learning, and Reinforcement Learning to create adaptive, autonomous robotic systems
- Design computer vision and sensor-processing capabilities for environmental understanding and interaction
- Implement navigation, localization, motion planning, sensor fusion, kinematics, and robotic control solutions
- Integrate, deploy, debug, and validate systems in real-world environments
- Evaluate emerging technologies, prototype research concepts, and transform them into production-ready solutions




- Collaborate with multidisciplinary international teams in an AGILE innovation environment
- Participate in phone screening, case-study presentation, team interview, and final management interview

Requirements
- Strong software engineering background with C, C++, C#, Python, and Linux development
- Experience with robotics frameworks and simulation environments such as ROS 2, Gazebo, MuJoCo, and NVIDIA Isaac Sim / Isaac Lab
- Understanding of 3D environments, simulation technologies, spatial computing, and computer graphics concepts
- Experience with Evergine, Unity, or Unreal Engine is highly valued
- Hands-on experience in computer vision and perception systems, including OpenCV, PCL, Open3D, LiDAR, depth sensing, and point cloud processing
- Knowledge of Machine Learning, Reinforcement Learning, PyTorch, and Gymnasium
- Interest or experience in Physical AI, Embodied AI, and Sim-to-Real workflows
- Understanding of SLAM,

📌 Robotics Engineer – Simulation (Madrid)
🏢 Jobtailor
📍 Madrid