Remote SLAM Robotics Engineer - Real-Time Localization

Rex.zone

United States

On-site

USD 41,328 - 68,880

Full time

14 days+

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Job summary

Rex.zone is seeking a SLAM Robotics Engineer (Remote, US) to design, optimize, and validate real-time localization and mapping for autonomous robots. You will fuse LiDAR, camera, IMU, wheel odometry, and GPS to improve pose estimation and deliver robust SLAM outputs used by production navigation stacks.

The role emphasizes hands-on development with ROS/ROS2, C++, and Python, along with multi-sensor fusion, loop closures, and rigorous testing.

Qualifications

Mid-Senior level with demonstrated SLAM/localization delivery for robots.
Strong C++ and practical Python for tooling and evaluation.
Hands-on experience with ROS/ROS2 and tf transforms.
Strong fundamentals in estimation, probability, optimization, and geometry.
Experience with visual-inertial odometry, scan matching/ICP, pose graphs, or factor graphs.

Responsibilities

Own SLAM workflows including sensor calibration, time synchronization, and multi-sensor fusion
Build and tune visual SLAM and LiDAR SLAM pipelines (scan matching, VIO, pose graphs)
Implement state estimation (EKF/UKF), factor graph optimization, and loop closure strategies
Improve mapping, relocalization, and drift mitigation over long trajectories
Integrate SLAM outputs with navigation stack components (odometry, costmaps, planners)
Create evaluation suites using rosbag playback, simulation, and ground-truth benchmarking (ATE/RPE)
Debug field failures using logs, metrics, and reproducible test cases
Write production-grade robotics software with profiling, CI, and testing