SLAM Robotics Engineer Jobs (Remote, US)
Rex.zone is hiring SLAM Robotics Engineers to build, optimize, and validate real-time localization and mapping systems for autonomous robots. You will fuse LiDAR, camera, IMU, wheel odometry, and GPS; improve pose estimation accuracy; and deliver robust SLAM outputs used by navigation stacks in production.
Key Responsibilities
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Own SLAM workflows including sensor calibration, time synchronization, and multi-sensor fusion
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Build and tune visual SLAM and LiDAR SLAM pipelines (scan matching, VIO, pose graphs)
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Implement state estimation (EKF/UKF), factor graph optimization, and loop closure strategies
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Improve mapping, relocalization, and drift mitigation over long trajectories
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Integrate SLAM outputs with navigation stack components (odometry, costmaps, planners)
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Create evaluation suites using rosbag playback, simulation, and ground-truth benchmarking (ATE/RPE)
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Debug field failures using logs, metrics, and reproducible test cases
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Write production-grade robotics software with profiling, CI, and testing
Required Qualifications
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Mid-Senior experience delivering SLAM/localization systems for robots
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Strong C++ and practical Python for tooling and evaluation
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Hands-on experience with ROS/ROS2 and tf transforms
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Strong fundamentals in estimation, probability, optimization, and geometry
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Experience with at least one: visual-inertial odometry, scan matching/ICP, pose graphs, factor graphs
Preferred Qualifications
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Experience shipping autonomy on AMRs, drones, or field robotics
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Familiarity with OpenCV, PCL, Eigen, and optimization libraries (e.g., GTSAM/Ceres)
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Simulation experience (Gazebo, Isaac Sim) and dataset-driven validation
Compensation
Competitive hourly base pay:
$30–$50/hour
(USD), depending on experience.
How To Apply
Apply via Rex.zone by selecting the
SLAM Robotics Engineer Jobs
listing and submitting your application materials.
Include measurable results (accuracy/drift/latency), sensors supported, and links to publications or repos when available.