Robotics Engineer Jobs Bolivia
About The Role Build and improve production-grade robotic capabilities across perception, localization (SLAM), motion planning, and control. You will develop ROS/ROS2 modules, integrate sensors (camera, LiDAR, IMU), validate autonomy in simulation (Gazebo/Isaac Sim), and deploy to real hardware with robust logging, monitoring, and safety checks.
Key Responsibilities
Design and implement robotics software modules for perception, SLAM, planning, and control Integrate sensors and compute hardware; develop and tune state estimation and sensor fusion pipelines Create simulation scenarios and perform sim-to-real validation Build automated tests, regression suites, and performance benchmarks; maintain CI/CD quality gates Optimize runtime performance on Linux/embedded compute; debug using logs and bag files Contribute to safety practices, failure analysis, and fleet/field issue support Document interfaces, calibration steps, and operational runbooks
Required Qualifications
Mid-Senior experience delivering robotics systems in production or advanced prototypes Strong Python and C++ skills; hands-on ROS/ROS2 (topics, services, actions, tf2, lifecycle nodes) Understanding of kinematics, dynamics, and feedback control (e.g., PID/MPC) Knowledge of SLAM/localization concepts and practical debugging across HW/SW boundaries Experience with Linux, Git, Docker, and reproducible builds
Preferred Qualifications
Computer vision / perception (OpenCV, point clouds, edge inference) Familiarity with Nav2/MoveIt, Gazebo/Isaac Sim, URDF/xacro, and sensor modeling Exposure to embedded/real-time constraints, reliability engineering, and field operations
Compensation
Hourly base pay range: $30–$50 USD (depending on scope, seniority, and interview outcomes). Remote-work equipment/support may apply per team policy. How To Apply Apply on Rex.zone and include a resume highlighting ROS/ROS2 projects, autonomy modules shipped, and measurable outcomes (e.g., latency reductions, localization accuracy, planning success rate, reliability improvements). Add links to portfolios (GitHub, demos, papers) where available.