Rex.zone
Warehouse Robotics ROS Engineer
Skills
3 months ago
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Important information
Contract type:
Permanent
Location:
United States
Work mode:
Onsite
Published on:
7 August 2026
What they need
About The Role Rex.zone is hiring a Remote, Full-Time Warehouse Robotics ROS Engineer to build, integrate, and operate ROS/ROS2-powered autonomous mobile robots (AMRs/AGVs) in real fulfillment and distribution environments. You will own production-grade robotics pipelines from simulation to on-robot deployment, with a focus on safe navigation, reliable localization, and scalable fleet operations.
What You Will Do
- Design and maintain ROS2 nodes/packages for mapping, localization (SLAM), navigation, and mission execution
- Integrate sensors (LiDAR, cameras, IMU, wheel encoders) and debug timing/TF issues using logs and rosbag
- Tune Nav2/navigation stack concepts: costmaps, planners, controllers, and recovery behaviors for warehouse constraints
- Validate changes in simulation (Gazebo/Isaac Sim) and deploy safely to physical robots
- Improve reliability: reduce interventions, increase uptime, and speed recovery from failures via telemetry/runbooks
- Collaborate on fleet management and integrations with warehouse systems (WMS/ERP), coordinating with ops and safety
Required Qualifications
- Mid-Senior experience shipping robotics software to production environments
- Strong C++ and Python with hands-on ROS/ROS2 development
- Practical knowledge of SLAM/localization, motion/path planning, and mobile robot navigation
- Comfort with Linux tooling, Git, containers, and automated testing/CI workflows
Preferred Qualifications
- MoveIt/manipulation planning (where applicable), behavior trees/state machines, multi-robot coordination
- DDS tuning, observability for robotics, docking/charging behaviors, and industrial safety considerations
Pay Base hourly rate: $30–$50/hr (USD).
Workplace: Remote . Employment type: Full-Time .
How To Apply Apply via Rex.zone and highlight ROS/ROS2 packages you built, real robot deployments, navigation/localization tuning outcomes, and examples of complex debugging (TF, sensor fusion, timing).
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