Group Lead Robotics Perception, Mapping & Navigation (human)

Neura Robotics; Gemeindeverwaltungsverband Metzingen, Riederich; Sur place; EUR 100 000 - 140 000; Plein temps

Résumé du poste

Neura Robotics in Germany seeks a senior robotics leader to own the perception, mapping and navigation roadmap, building production-ready systems for real robots.

You will hire and mentor a team of perception, SLAM and navigation engineers, drive multi-sensor fusion, 3D scene understanding and safe navigation, while coordinating with edge/embedded hardware and simulation teams.

Qualifications

• Master’s or PhD in robotics, computer science, electrical engineering or a related field.
• 7+ years in robotics perception, SLAM or navigation, incl. 2+ years of technical leadership and deployments on real robots in production or field settings.
• Strong knowledge of state estimation, sensor fusion and SLAM (visual-inertial odometry, LiDAR SLAM, factor graphs).
• 3D computer vision and learning-based perception expertise.
• Solid experience with motion planning and navigation stacks (ROS 2, Nav2, MoveIt).
• Experience with simulation tools (Isaac Sim, Gazebo, MuJoCo) and sim-to-real transfer.
• Strong C++ and Python, Linux, PyTorch; familiarity with GTSAM, Ceres, Open3D, PCL or OpenCV.
• Strong leadership and communication skills; professional English; German B2-C1 is a plus.

Responsabilités

• Own the technical roadmap for perception, mapping and navigation across prototypes to production.
• Hire and lead a team of perception, SLAM and navigation engineers.
• Drive multi-sensor perception using RGB-D, stereo, LiDAR, IMU and wheel odometry; calibrate and fuse data.
• Lead SLAM, localisation and map management (2D/3D, semantic and long-term maps).
• Own 3D scene understanding including object detection, segmentation and pose estimation.
• Drive global/local path planning and obstacle avoidance in dynamic environments.
• Ensure real-time performance on embedded compute with Edge AI and hardware teams.
• Collaborate with safety to meet autonomous motion standards; simulate and test extensively.
• Build datasets, ground truth, KPIs and regression tests in simulation and on hardware.
• Tackle localisation failures, drift and edge cases with hands-on problem solving.

Connaissances

Leadership

Robotics perception

SLAM / localization

3D computer vision

Motion planning

Simulation & evaluation

English communication

German language (B2-C1)

Formation

Master’s or PhD in robotics, computer science, electrical engineering or related field

Outils

C++

Python

Linux

PyTorch

GTSAM

Ceres

Open3D

PCL

OpenCV

ROS 2

Nav2

MoveIt

Isaac Sim

Gazebo

MuJoCo

Description du poste

Your mission & challenges

• 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.

What we can look forward to

• 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.