[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-slam-robotics-engineer-jobs":3},{"Ques":4,"Slug":28,"Header":29,"job_category":57},{"title":5,"content":6},"Frequently Asked Questions",[7,10,13,16,19,22,25],{"A":8,"Q":9},"Yes. Remote Type is set to Remote, and roles are listed for US-based candidates.","Are these SLAM Robotics Engineer jobs remote?",{"A":11,"Q":12},"Yes. Employment Type is FULL_TIME.","Is this a full-time role?",{"A":14,"Q":15},"Typical work includes improving localization accuracy, tuning sensor fusion, implementing loop closure, validating mapping quality with rosbag datasets, and integrating SLAM outputs with navigation stack components.","What does a SLAM Robotics Engineer do day-to-day?",{"A":17,"Q":18},"Common sensor setups include LiDAR, camera, IMU, wheel odometry, and GPS. Methods often include visual SLAM, LiDAR SLAM, visual-inertial odometry, scan matching, pose graphs, and factor graph optimization.","Which sensors and SLAM methods are most relevant?",{"A":20,"Q":21},"Skills aligned to this intent include SLAM, sensor fusion, state estimation, pose graph optimization, loop closure, mapping, localization, ROS\u002FROS2, C++, Python, OpenCV, PCL, and robotics evaluation metrics.","What skills should match the SLAM Robotics Engineer Jobs keyword intent?",{"A":23,"Q":24},"Salary Min is 63360 USD and Salary Max is 126720 USD, paid per YEAR.","What is the salary range for this posting?",{"A":26,"Q":27},"Apply via Rex.zone by selecting the SLAM Robotics Engineer Jobs listing and submitting your application materials.","Where do I apply?","slam-robotics-engineer-jobs",{"desc":30,"title":31,"content":32},"SLAM Robotics Engineer jobs at Rex.zone focus on building real-time localization and mapping systems for autonomous robots. You will develop and optimize SLAM pipelines that fuse LiDAR, camera, IMU, and GPS; improve pose estimation accuracy; and validate performance using rosbag datasets and simulation. These remote, full-time roles support navigation stacks, perception modules, loop closure, and map management for mobile robots in warehouses, drones, and field robotics. If you want to ship robust autonomy software, improve model and filter performance, and collaborate across robotics, embedded, and platform teams, explore SLAM Robotics Engineer Jobs on Rex.zone.","SLAM Robotics Engineer Jobs",[33,36,39,42,45,48,51,54],{"h2":34,"desc":35},"Job Heading: SLAM Robotics Engineer Jobs","Title: SLAM Robotics Engineer Jobs | 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: SLAM, Sensor Fusion, Visual SLAM, LiDAR SLAM, State Estimation, Kalman Filter, Factor Graph Optimization, Pose Graph, Loop Closure, Mapping, Localization, ROS, C++, Python, OpenCV, PCL, IMU Integration, Camera Calibration, Odometry, Navigation Stack, Gazebo, Isaac Sim, Dataset Evaluation, Robotics Software Testing | Salary Currency: USD | Salary Min: 63360 | Salary Max: 126720 | Pay Period: YEAR",{"h2":37,"desc":38},"About the Role","As a SLAM Robotics Engineer, you will design, implement, and tune localization and mapping components that power autonomous navigation. You will work on real-world robotics data, improve robustness across environments, and partner with perception, controls, and platform teams to deliver reliable pose estimates and maps in production.",{"h2":40,"desc":41},"Key Responsibilities","Own SLAM robotics engineer workflows including sensor calibration, time synchronization, and multi-sensor fusion; build and tune visual SLAM and LiDAR SLAM pipelines; implement state estimation (EKF\u002FUKF), factor graph optimization, and loop closure strategies; improve mapping, relocalization, and drift mitigation in long trajectories; integrate SLAM outputs with navigation stack components (odometry, costmaps, planners); create evaluation suites using rosbag playback, simulation, and ground truth benchmarking; debug field failures using logs, metrics, and reproducible test cases; write production-grade robotics software with performance profiling and CI testing.",{"h2":43,"desc":44},"Required Qualifications","Mid-Senior experience delivering SLAM or localization systems for robots; strong C++ and practical Python for tooling and evaluation; hands-on experience with ROS\u002FROS2, tf transforms, and robotics middleware; solid fundamentals in estimation, probability, optimization, and geometry; experience with at least one of: visual-inertial odometry, pose graphs, factor graphs, scan matching, ICP; ability to evaluate accuracy using trajectory metrics (ATE\u002FRPE) and map quality metrics; strong debugging skills across sensors, drivers, and real-time pipelines.",{"h2":46,"desc":47},"Preferred Qualifications","Experience shipping autonomy on mobile robots, AMRs, drones, or field robotics; familiarity with GTSAM, Ceres, Eigen, OpenCV, PCL, and point cloud registration; experience with calibration toolchains, IMU pre-integration, and time sync; familiarity with simulation (Gazebo, Isaac Sim) and synthetic data; knowledge of navigation stack tuning, controls interfaces, and motion constraints; exposure to embedded or edge optimization (profiling, CPU\u002FGPU constraints).",{"h2":49,"desc":50},"Tools, Systems, and Data","You will work with ROS\u002FROS2, C++ build systems, bagged sensor datasets, and simulation. Common inputs include LiDAR scans, camera frames, IMU streams, wheel odometry, and GPS. Common outputs include pose estimates, local and global maps, and uncertainty metrics used downstream by planning and control.",{"h2":52,"desc":53},"Remote Work Expectations","This role is Remote (US). You will collaborate across time zones using documented design reviews, reproducible evaluation artifacts, and automated test pipelines. Occasional coordination with field testing teams may be needed for log collection and validation.",{"h2":55,"desc":56},"How to Apply on Rex.zone","Search and apply for SLAM Robotics Engineer Jobs on Rex.zone. Prepare a resume highlighting SLAM robotics engineer deliverables, datasets evaluated, sensors supported, and measurable improvements (accuracy, drift reduction, latency). Include links to publications, repos, or technical write-ups when available.","Robotics Engineering"]