[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-robotics-jobs-quito":3},{"Ques":4,"Slug":22,"Header":23,"job_category":47},{"title":5,"content":6},"Frequently Asked Questions",[7,10,13,16,19],{"A":8,"Q":9},"Yes. The role is Remote and FULL_TIME, aligned with the job metadata listed under the Robotics Jobs Quito heading.","Is this role Remote and full-time?",{"A":11,"Q":12},"It focuses on end-to-end robotics engineering across perception, localization\u002FSLAM, motion planning, and control, plus QA evaluation and simulation-to-real validation.","What type of robotics work does this position focus on?",{"A":14,"Q":15},"You will help define training data collection and labeling specs, set evaluation protocols, and run QA checks that improve model performance for robotics perception and autonomy.","How does this role connect to AI\u002FML training pipelines?",{"A":17,"Q":18},"The page covers remote and full-time intent and references common domains such as computer vision, NLP-adjacent LLM tooling for robotics, content safety considerations, and LLM training pipelines, consistent with how employers and candidates search on Rex.zone.","Which modifiers and domains are supported on this page?",{"A":20,"Q":21},"Highlight Robotics, ROS2, Motion Planning, Control Systems, Sensor Fusion, Computer Vision, SLAM, Path Planning, Embedded Systems, Python, C++, Simulation, and QA Testing.","What skills should I highlight to match Robotics Jobs Quito searches?","robotics-jobs-quito",{"desc":24,"title":25,"content":26},"Robotics Jobs Quito is a Remote, FULL_TIME Engineering hiring page on Rex.zone for Mid-Senior robotics engineers building real-world automation systems that connect perception, motion planning, and control into production robotics workflows. You will help deliver robotic manipulation, mobile robotics, and industrial automation solutions using ROS\u002FROS2, sensor fusion, computer vision, and safety-focused QA testing. This role supports AI\u002FML training pipelines through data collection and labeling specs, evaluation protocols, and continuous improvement loops that lift model performance in robotics perception and autonomy. Explore and apply on Rex.zone to join teams shipping reliable robots across labs, tech startups, and enterprise deployments.","Robotics Jobs Quito",[27,29,32,35,38,41,44],{"h2":25,"desc":28},"Date: 25-02-2026 | Company: Rexzone | Country: US | Remote Type: Remote | Employment Type: FULL_TIME | Experience Level: Mid-Senior | Industry: Technology | Job Function: Engineering | Skills: Robotics, ROS2, Motion Planning, Control Systems, Sensor Fusion, Computer Vision, SLAM, Path Planning, Embedded Systems, Python, C++, Gazebo, Simulation, CI\u002FCD, QA Testing | Salary Currency: USD | Salary Min: 63360 | Salary Max: 126720 | Pay Period: YEAR",{"h2":30,"desc":31},"About the Role","You will design, build, test, and deploy robotics software for perception, planning, and control in Remote full-time workflows while collaborating across hardware, ML, and product teams. Your work will cover ROS\u002FROS2 integration, sensor bring-up, simulation-to-real validation, and production readiness, including safety checks, failure-mode analysis, and performance profiling.",{"h2":33,"desc":34},"Key Responsibilities","Deliver robotics features across the autonomy stack (perception, localization, planning, control) with clear interfaces and documentation. Build and maintain ROS2 nodes, message definitions, launch files, and parameterization for scalable deployments. Implement motion planning and control algorithms (trajectory generation, MPC\u002FPID tuning, kinematics\u002Fdynamics integration) with measurable latency and stability targets. Develop simulation-first workflows (Gazebo\u002FIsaac-style pipelines), domain randomization strategies, and regression test suites. Define data capture and labeling specifications for robotics perception datasets (e.g., bounding boxes, segmentation, keypoints, depth\u002Fpose labels) and ensure annotation guidelines compliance. Create evaluation harnesses to track model performance improvement using metrics such as mAP, IoU, pose error, drift, collision rate, and task success rate. Conduct QA evaluation for robotics releases: calibration checks, sensor health monitoring, log review, and incident triage.",{"h2":36,"desc":37},"Required Qualifications","Mid-Senior experience delivering robotics software to real hardware or production simulators. Strong ROS\u002FROS2 proficiency and comfort with Linux-based development environments. Solid foundations in kinematics, dynamics, control theory, and motion planning. Proficiency in Python and C++ with debugging, profiling, and automated testing practices. Experience with perception pipelines using cameras, LiDAR, IMU, and sensor fusion. Ability to write clear specs, reproduce issues from logs, and communicate tradeoffs across multidisciplinary teams.",{"h2":39,"desc":40},"Preferred Qualifications","Experience with SLAM, localization, and mapping in dynamic environments. Familiarity with computer vision annotation and evaluation (segmentation, keypoints, 3D boxes) and dataset QA workflows. Exposure to LLM-assisted robotics, prompt evaluation for tool-using agents, or data-centric ML processes. Experience with content safety labeling considerations for human-facing robotics deployments. CI\u002FCD for robotics, containerization, and fleet telemetry pipelines.",{"h2":42,"desc":43},"Tools and Workflows","ROS2, Linux, Python, C++, simulation environments, Git-based code review, automated testing, and structured release validation. Data operations practices include training data quality checks, annotation guidelines compliance, and repeatable evaluation protocols that connect dataset changes to model and robot behavior changes.",{"h2":45,"desc":46},"How to Apply on Rex.zone","Apply through Rex.zone with an updated resume and a brief summary of your robotics stack experience (ROS2, perception sensors, planning\u002Fcontrol) and links to relevant projects, papers, or repositories. Qualified candidates may be asked to complete a practical debugging or systems-design evaluation focused on production robotics constraints.","Engineering"]