> Markdown version of [/jobs/ext/4072709-group-lead-robotics-perception-mapping-navigation-human](https://www.wearedevelopers.com/jobs/ext/4072709-group-lead-robotics-perception-mapping-navigation-human). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Group Lead Robotics Perception, Mapping & Navigation (human)

- **Company:** Neura Robotics GmbH
- **Location:** Riederich, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Computer Vision, C++ (Programming Language), Linux, Python (Programming Language), Motion Planning, Object Detection, OpenCV, Regression Testing, State Estimation, Sensor Fusion, Pytorch, Transfer Learning, Isaac Sim, Information Technology, Lidar, Data Pipelines, Pose Estimation
- **Published:** October 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=761393746d15bf84

## About the Role

* Education: Master's or PhD in robotics, computer science, electrical engineering or a related field.
 * Experience: 7+ years in robotics perception, SLAM or navigation, including 2+ years of technical leadership and deployments on real robots in production or field settings.
 * State estimation & SLAM: Deep knowledge of state estimation, sensor fusion and SLAM (e.g. factor graphs, visual-inertial odometry, LiDAR SLAM).
 * 3D computer vision: Strong background in 3D computer vision and learning-based perception.
 * Motion planning & navigation: Solid experience with motion planning and navigation stacks (e.g. ROS 2, Nav2, MoveIt).
 * Simulation: Experience with simulation tools (e.g. Isaac Sim, Gazebo, MuJoCo) and sim-to-real transfer.
 * Tech stack: Strong C++ and Python, Linux, PyTorch, and libraries such as GTSAM, Ceres, Open3D, PCL or OpenCV.
 * Leadership & communication: Strong leadership and communication skills, with professional English in speaking and writing. German at B2 to C1 is a strong plus.

## Description

* Technical roadmap: You own the technical roadmap for perception, mapping and navigation, from research prototypes to production on real robots.
 * Build & lead the team: You hire a team of perception, SLAM and navigation engineers, mentor them and support each person's growth.
 * Multi-sensor perception: You drive perception across multiple sensors (RGB-D, stereo, LiDAR, IMU, wheel odometry), including calibration, time synchronisation and sensor fusion.
 * SLAM, localisation & map management: You lead the development of SLAM, localisation and map management (2D/3D, semantic and long-term maps, multi-session mapping, map updates in changing environments).
 * 3D scene understanding: You own object detection, segmentation, pose estimation and scene representations (occupancy, voxel, mesh, neural fields) that feed manipulation and planning.
 * Navigation: You drive global and local path planning, obstacle avoidance, navigation around dynamic and human obstacles, and whole-body motion in cluttered spaces.
 * Real-time performance: Together with the Edge AI and hardware teams, you ensure real-time requirements are met on embedded compute.
 * Functional safety: You work with the safety team to meet the requirements for autonomous motion (e.g. ISO 13482, ISO 3691-4, ISO 10218).
 * Simulation, data pipelines & evaluation: You build datasets, ground truth, KPIs and regression testing in simulation and on hardware.
 * Hands-on on hard problems: You get stuck in yourself when localisation failures, drift, degenerate environments or field edge cases come up.