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Senior Robotics Engineer

Analog

Location
Abu Dhabi
Job type
Full-time
Posted
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We are seeking a highly skilled Senior Robotics Engineer to join our advanced robotics team. In this role, you will design, develop, and deploy intelligent robotic systems that leverage cutting-edge AI, computer vision, perception, estimation, sensor fusion, and control algorithms. You will collaborate with a multidisciplinary team of researchers, engineers, and product developers to bring novel robotic capabilities from concept to deployment in real-world environments.

Responsibilities

AI & Perception

  • Develop and integrate perception systems using computer vision, deep learning, and multimodal sensing.

  • Build and maintain sensor fusion pipelines combining LiDAR, cameras, IMU, radar, and GNSS.

  • Implement probabilistic filters (Kalman, EKF/UKF, Particle) for robust estimation under uncertainty.

System Integration & Deployment

  • Integrate estimation, perception, and control modules into robotic systems, ensuring seamless hardware/software interoperability.

  • Conduct simulations, validation, and large-scale field tests to evaluate performance.

  • Optimize algorithms for real-time execution on CPUs, GPUs, and FPGAs.

Leadership & Collaboration

  • Collaborate with cross-disciplinary teams in hardware, embedded systems, and software.

  • Stay current with advances in robotics, AI, perception, estimation, and controls, and integrate novel research into applied solutions.

Qualifications

  • Strong proficiency in C++ and Python for robotics and AI development.

  • Hands-on experience with robotics frameworks such as ROS/ROS2.

  • Practical knowledge of SLAM and LiDAR-based perception systems.

  • Experience deploying reinforcement learning algorithms in simulation and on real robots.

  • Familiarity with cloud-based robotics platforms (e.g., AWS RoboMaker, Azure IoT Hub, Google Cloud Robotics).

  • Proficiency with simulation tools (e.g., Gazebo, Isaac Sim, or Webots) and visualization frameworks (e.g., RViz).

  • Strong software engineering practices: version control (Git), CI/CD, containerization (Docker).