[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-robotics-jobs-barranquilla":3},{"Ques":4,"Slug":22,"Header":23,"job_category":45},{"title":5,"content":6},"Frequently Asked Questions",[7,10,13,16,19],{"A":8,"Q":9},"These roles are explicitly Remote. You may collaborate with distributed teams and occasionally support field testing plans depending on the project.","Are these Robotics Jobs Barranquilla roles remote or onsite?",{"A":11,"Q":12},"Mid-Senior indicates you can own components end-to-end (design, implementation, testing, and deployment), mentor peers on debugging practices, and drive reliability improvements.","What does “Mid-Senior” mean for this role?",{"A":14,"Q":15},"Core domains include ROS\u002FROS2 development, SLAM\u002Flocalization, sensor fusion, computer vision perception, motion planning, and controls for real-world robot deployments.","Which robotics domains are most relevant?",{"A":17,"Q":18},"Common employer types include tech startups, AI labs, industrial automation teams, and robotics product companies seeking remote engineering talent.","What kind of companies hire through Rex.zone for robotics?",{"A":20,"Q":21},"Yes. Employment Type is FULL_TIME and compensation is listed in USD with a YEAR pay period.","Is this a full-time role and is salary in USD per year?","robotics-jobs-barranquilla",{"desc":24,"title":25,"content":26},"Robotics engineers build and deploy robot software, perception, and controls for real-world automation. On Rex.zone, these Remote, full-time Robotics Jobs Barranquilla focus on robotics systems engineering, ROS\u002FROS2 development, SLAM, computer vision, motion planning, and field testing to improve reliability, safety, and performance in production environments across tech startups and AI labs.","Robotics Jobs Barranquilla",[27,30,33,36,39,42],{"h2":28,"desc":29},"Robotics Engineer (Remote) — Barranquilla","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: ROS2, C++, Python, SLAM, Computer Vision, Motion Planning, Sensor Fusion, Linux | Salary Currency: USD | Salary Min: 63360 | Salary Max: 126720 | Pay Period: YEAR",{"h2":31,"desc":32},"What You Will Do","Design and implement robotics software components for perception, localization, planning, and control using ROS\u002FROS2 nodes and services.\nBuild and maintain pipelines for sensor ingestion (LiDAR, camera, IMU, wheel odometry) and multi-sensor calibration and synchronization.\nDevelop SLAM and localization solutions, tune parameters, and validate performance under changing environmental conditions.\nImplement motion planning and trajectory generation with constraints for safety, smoothness, and real-time execution.\nCreate simulation and hardware-in-the-loop (HIL) test suites; run field tests and convert logs into actionable engineering fixes.\nCollaborate with electrical, mechanical, and product teams to translate system requirements into reliable robotic behaviors.\nDefine acceptance criteria, write technical documentation, and enforce coding standards and CI\u002FCD quality gates.",{"h2":34,"desc":35},"Required Qualifications","3+ years of professional experience in robotics software engineering, autonomy, or embedded\u002Freal-time adjacent roles.\nStrong C++ and Python skills; comfortable with debugging, profiling, and performance optimization on Linux.\nHands-on ROS\u002FROS2 experience including TF, message types, bagging\u002Flogging, and lifecycle management.\nWorking knowledge of SLAM\u002Flocalization concepts and practical deployment constraints.\nExperience with perception and sensor fusion fundamentals (e.g., EKF\u002FUKF, feature tracking, point cloud processing).\nAbility to work remotely with clear written communication, issue tracking discipline, and iterative delivery.",{"h2":37,"desc":38},"Preferred Qualifications","Experience with autonomy stacks and planning frameworks (e.g., Nav2, MoveIt, OMPL) and real-time control loops.\nComputer vision and deep learning deployment for robotics (OpenCV, PyTorch\u002FTensorRT) in constrained environments.\nExperience with simulation tools (Gazebo\u002FIgnition, Isaac Sim) and robust scenario-based testing.\nExposure to safety practices, fail-safe design, and operational readiness for field deployments.\nBackground working with robotics teams in tech startups, R&D labs, or industrial automation contexts.",{"h2":40,"desc":41},"Tools And Tech You Will Use","ROS\u002FROS2, Nav2, MoveIt, TF, rosbag\nC++, Python, Linux, Git, CI\u002FCD\nOpenCV, PCL, Eigen\nGazebo\u002FIgnition or Isaac Sim, Docker\nTelemetry\u002Flog analysis and experiment tracking",{"h2":43,"desc":44},"How To Apply on Rex.zone","Create or update your Rex.zone profile with robotics projects, GitHub links, and deployment outcomes.\nHighlight ROS2, SLAM, perception, and motion planning experience aligned to Remote, full-time robotics roles.\nSubmit your application and be ready to discuss system design, debugging workflows, and field validation methods.","Engineering"]