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Senior Robotics Engineer

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Onsite

Senior Robotics Engineer

ANALOG

Senior Robotics Engineer

Skills

Google Cloud PlatformDeep LearningDockerPythonGitAIAWSAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Abu Dhabi - United Arab Emirates

Work mode:

Onsite

Published on:

22 September 2026

What they need


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.

Controls & Planning

  • (This section was empty in your original)

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).

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