Robotics Engineer Jobs in Quito (Remote, Full-Time)
Design, integrate, and deploy robotic systems that combine perception, control, and autonomy. You will ship production robotics capabilities from simulation to real hardware, improving performance, safety, and reliability through metrics-driven iteration and strong engineering practices.
Key Responsibilities
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Own robotics software components and deliver measurable improvements to robot behavior and uptime
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Develop ROS/ROS2 nodes and packages for perception, planning, and control
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Implement and improve SLAM/localization and sensor fusion pipelines
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Integrate and calibrate sensors (LiDAR, cameras, IMU) and manage coordinate frames
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Validate in simulation (e.g., Gazebo/Ignition) and on real hardware; support sim-to-hardware workflows
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Build automated tests, logging/telemetry, debugging tools, and regression test suites
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Tune controllers and motion behaviors; optimize real-time performance and reliability
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Contribute to safety and operational readiness reviews; collaborate across distributed teams
Required Qualifications
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Mid-Senior experience building and debugging robotics systems
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Strong C++ and Python skills
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Practical ROS/ROS2 development experience, including tooling, launch, and debugging
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Background in at least one: localization/SLAM, motion planning, or control systems
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Familiarity with Linux environments, networking concepts, testing, and code review workflows
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Clear documentation and effective remote communication
Preferred Qualifications
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Experience with Nav2, MoveIt, OpenCV, PCL, Eigen, and common robotics middleware patterns
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Experience with perception stacks (detection/tracking) and camera/LiDAR calibration
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Embedded/edge compute experience (e.g., NVIDIA Jetson, ARM) and performance profiling
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Exposure to CI/CD, fleet telemetry, and deployment support for real-world robotics
Compensation & Work Arrangement
Remote, FULL_TIME role. Hourly base pay range:
$30–$50/hr
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Pay varies by experience and scope.
How To Apply
Apply via Rex.zone and highlight shipped robotics work (ROS2 packages, sensor integration, reproducible tests, and simulation-to-hardware validation) with metrics such as navigation success rate, localization accuracy, latency, and failure recovery behavior.