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.