Registry · PA-310DB5

Robotics Simulation Engineer, ROS 2, Isaac Sim and reinforcement learning

Robotics engineer trained in Mexico and Japan, with a research stint at OIST building from scratch the simulation infrastructure for reinforcement-learning drone navigation. ROS 2 and Gazebo for autonomy, Isaac Sim and Isaac Lab for simulation, PyTorch and OpenCV for learning and vision, ESP32, Jetson and micro-ROS on the hardware. Takes robots from simulation to physical platforms, from SLAM-based exploration to vision and LiDAR driving on a QCar.

Availability

Available nowProfiles presented within 48 hours

Seniority

Mid-level ยท 1 years

Stack

Ros2Micro rosIsaac simIsaac labGazeboPythonCppPytorchOpencvMatlabSimulinkEsp32JetsonRaspberry piPyqt

Languages

Spanish (native)English (B2)JA (A1)
  1. 2025 to 2026 Reinforcement Learning Research Intern drone company and research institute (Japan)Aug 2025 to Jan 2026
    • Built the project's simulation infrastructure from scratch, enabling reinforcement-learning experiments for autonomous drone navigation.
  2. 2025 to 2026 Robotics Engineering Projects (academic) university robotics engineering program (Mexico)undefined 2025 to Jun 2026
    • Built an autonomous exploration system in ROS 2 and Gazebo with EKF localization on ArUco markers and A* planning over a real-time SLAM occupancy grid.
    • Built autonomous driving for a Jetson TX2 QCar in ROS 2, combining vision lane following and LiDAR obstacle avoidance through a real-time arbiter.
    • Built a modular PyQt5 interface for a UFactory Lite6 robot arm with Cartesian control, G-code drawing and OpenCV shape recognition.
    • Built vision-based trajectory following and a traffic-sign detector (mAP@50 98.9%, F1 93.4%) for a Puzzlebot in ROS 2.

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