Gravis Robotics

Engineer

• Design and deploy large-scale georeferenced mapping systems for autonomous heavy machinery operating in continuously evolving construction environments.
• Develop global dynamic mapping pipelines that maintain accurate, up-to-date site representations across evolving terrain, active construction operations, and machine activity.
• Define performance metrics, validation methodologies, and benchmarking frameworks for map quality, localization accuracy, robustness, and runtime performance.
• Develop scalable multi-sensor fusion and SLAM algorithms that enable robust mapping, localization, state estimation, and calibration in challenging outdoor environments with degraded or intermittent GNSS.
• Collaborate closely with multidisciplinary experts to improve the reliability, scalability, and field performance of the overall system.
• Ensure production-quality implementation, documentation, and timely execution in a fast-paced, deployment-driven environment

Global Mapping Engineer – SLAM