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Robotics Engineer

Analog
Abu Dhabi, UAE
Full-time
Mid
Onsite
Discovered 2 weeks ago
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Full Job Posting

Qualifications

  • 2+ Experience in robotics engineering, with strong proficiency in C++ and Python for robotics and AI development.
  • Hands on experience with robotics frameworks such as ROS or ROS2.
  • Working knowledge of SLAM and LiDAR based perception systems.
  • Exposure to reinforcement learning algorithms in simulation or 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).

Responsibilities

  • Develop and integrate perception systems using computer vision, deep learning, and multimodal sensing.
  • Build robust pipelines for real time detection, recognition, tracking, and scene understanding.
  • Implement frameworks for training, testing, and deploying AI models on embedded and edge devices.
  • Design algorithms for state estimation, localization, and mapping (e.g., SLAM, visual inertial odometry).
  • 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.
  • Support robustness through time synchronization, calibration, and sensor noise management.
  • Develop and implement control strategies from PID and adaptive controllers to Model Predictive Control (MPC).
  • Create trajectory tracking and motion planning algorithms that handle noisy inputs and dynamic environments.
  • Support research into robust target tracking and disturbance rejection.
  • Help optimize control architectures for stability, safety, and performance in both simulation and real world testing.
  • Integrate estimation, perception, and control modules into robotic systems, ensuring seamless hardware and software interoperability.
  • Conduct simulations, validation, and field tests to evaluate performance.
  • Optimize algorithms for real time execution on CPUs, GPUs, and FPGAs.
  • Work closely with senior engineers and technical leads to solve complex robotics challenges.
  • Collaborate with multidisciplinary teams in hardware, embedded systems, and software.
  • Stay current with advances in robotics, AI, perception, estimation, and controls, and bring new ideas into applied solutions.

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