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Global Mapping Engineer – SLAM
Gravis RoboticsGlobal Dynamic Mapping and SLAM Engineer at Gravis Robotics transforming heavy machinery into autonomous robots. Focused on designing and developing state-of-the-art localization and mapping algorithms.
Tech Stack
Tools & technologiesLinuxPython
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- Master’s or PhD in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, Geomatics, or a related field.
- 3+ years of experience developing mapping, SLAM, localization, or state estimation systems for real-world robotic platforms.
- Strong understanding of coordinate frames, calibration, sensor synchronization, uncertainty modeling, and real-time robotics systems.
- Experience building multi-sensor mapping pipelines using GNSS, LiDAR, cameras, IMUs, and other sensor data.
- Strong experience with mapping and SLAM algorithms such as LiDAR-inertial odometry, pose graph optimization, loop closure, scan matching, map alignment, and georeferencing.
- Experience writing production-quality C++ and/or Python code in a Linux development environment.
- Experience evaluating mapping and localization performance using clear metrics, datasets, field-testing procedures, and benchmarking frameworks.
Benefits
Comp & perks- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
ATS Keywords
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Hard Skills & Tools
MappingLocalizationState EstimationSensor SynchronizationUncertainty ModelingReal-Time RoboticsGNSSLiDARIMUsPose Graph Optimization
Soft Skills
CollaborationDocumentationTimely Execution
Certifications
Master’s DegreePhD