- 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, localization, navigation, motion planning, sensor fusion, kinematics, and robot control systems

- Experience with robotic platforms such as humanoids, quadrupeds, drones, AGVs/AMRs, mobile manipulators, or robotic arms

- Familiarity with embedded systems and robotics hardware, including Arduino, ARM platforms, NVIDIA Jetson, FreeRTOS, sensors, and actuators

- Ability to integrate, test, debug, and deploy solutions in real-world robotic environments

- Research-oriented mindset with ability to evaluate new technologies, read technical documentation and papers, and rapidly prototype innovative solutions

- Fluent English communication skills, written and spoken

- Based in Seville or surrounding areas

Core Competencies

Demonstrates expertise in advanced robotics and AI solutions, including software engineering with C, C++, Python, and Linux. Proficient in robotics frameworks, simulation environments, and computer vision systems, with a strong focus on real-world deployment and integration.

Highest-signal resume keywords

- C++ Programming

- Robotics Frameworks

- Computer Vision

- Machine Learning

- Simulation Environments

ATS Optimization Keywords

Hard Skills

- C Programming

- C++ Programming

- C# Programming

- Python Programming

- Linux Development

- Robotics Frameworks

- Computer Vision

- Machine Learning

- Reinforcement Learning

- Navigation and Localization

Soft Skills

- Collaboration

- Research-Oriented Mindset

- Fluent English Communication

Industry Keywords

- Physical AI

- Embodied AI

- Sim-to-Real Workflows

- SLAM

- Sensor Fusion

- Kinematics

- Robotic Control Systems

- Digital Twins

- 3D Technologies

- AGILE Innovation

Tools & Technologies

- ROS 2

- Gazebo

- MuJoCo

- NVIDIA Isaac Sim

- OpenCV

- PCL

- Open3D

- Unity

- Unreal Engine

- NVIDIA Jetson

#J-18808-Ljbffr

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