Why this sector needs niogod™.

// Sector-specific pain

// Talent scarcity

ROS2 / SLAM seniority is rare in DACH.

Senior ROS2 engineers and SLAM specialists are scarce in DACH; the cluster around Munich, Stuttgart, Aachen, and Karlsruhe absorbs them rapidly into permanent roles.

// Integration complexity

Perception, planning, and control on one stack.

End-to-end autonomous-systems work spans perception, sensor fusion, planning, and control. The pod absorbs this integration burden under a single Werkvertrag scope.

// Cost of full-stack robotics in DACH

Senior robotics engineers in Munich.

Senior full-stack robotics engineers in Munich command Vollkosten well above €160k. The pod delivers comparable seniority within the same budget envelope.

Senior Consultant profile.

// 10+ years · Robotics & Autonomous Systems

// Technologies

  • ROS, ROS2, DDS, micro-ROS
  • Perception (PCL, OpenCV, CUDA)
  • SLAM (ORB-SLAM, Cartographer, custom)
  • NVIDIA Isaac, Gazebo, Ignition
  • Sensor fusion (Kalman, factor graphs)
  • Planning & control (MPC, RRT*, behavior trees)
  • Embedded Linux, Yocto, real-time tuning

// Prior employer archetypes

  • Tier-1 robotics OEMs and their R&D arms
  • DACH AV / drone deep-tech scale-ups
  • Robotics research institutes (DLR, Fraunhofer-adjacent)
  • Industrial robotics platform teams

Sample pod composition.

// Standard pod · Robotics

// Projektleiter

1 × C1 Projektleiter.

Stuttgart-anchored. DACH Liaison. Sole instructional interface to the Mandant.

// Senior Consultant

1 × Robotics Senior Consultant.

10+ yrs ROS2 / perception / SLAM. Architecture and integration hoheit.

// Pilot Engineers

2 × Pilot Engineers.

C++ / ROS2 / CUDA / embedded Linux execution. Tier-1 alumni. Five-stage vetting.

Sector compliance notes.

// Robotics-specific posture

Robotics mandates frequently touch dual-use, automotive functional safety (ISO 26262), or robotics safety standards. The Compliance Shield ensures: (1) AVV under Art. 28 DSGVO with explicit sensor-data scope, (2) AWS Frankfurt or on-premise processing for sensor logs, (3) explicit dual-use export awareness clauses where applicable.

The Stuttgart Projektleiter executes any onsite Einsatz (test-track visits, integration weeks); offshore Pilot Engineers remain outside Germany, preserving the AÜG-Geltungsbereich posture.

Request consultation for Robotics & Autonomous Systems.

A 30-minute strategy call with the DACH Liaison and a sector specialist. Outcome: a tailored R&D Intelligence Report within 5 business days.

Book Consultation

At niogod™, we are building the spatial intelligence required for the next generation of autonomous mobility. While our core philosophy is mapless, we utilize high-fidelity 3D reconstruction and SLAM to build the ground-truth data engines that train our neural networks. We are looking for an engineer to bridge the gap between geometric computer vision and scalable machine learning.

In this role, you’ll:

  • Spatial Algorithms: Implement and optimize algorithms for large-scale Visual SLAM and 3D scene reconstruction.
  • Ground Truth Generation: Develop automated tools for 3D scene synthesis and HD-mapping used exclusively for training and validating our ML models.
  • Data Engine Architecture: Build and maintain a continuous learning data engine that ingests fleet data to improve system performance.
  • Optimization: Fine-tune multi-view stereo and bundle adjustment pipelines to handle massive datasets with high precision.

What we require:

  • Advanced Foundation: MSc/PhD in Computer Science, Robotics, or equivalent experience in spatial computing.
  • Vision Expertise: Professional experience in Computer Vision, specifically relating to geometric reconstruction or localization.
  • Production Coding: Strong proficiency in C++ (for performance-critical geometry) and Python (for data orchestration and tooling).
  • Agile Mindset: A proactive learner who enjoys solving open-ended problems in a fast-paced environment.

It’s a plus if you have:

  • Hands-on experience with sensor calibration, Structure from Motion (SfM), or Point Cloud processing (PCL).
  • Experience with Ceres Solver, g2o, or similar non-linear optimization libraries.
  • Experience working on mid-to-large scale software architectures or distributed data pipelines.

What we offer:

  • Tech-Centric Environment: A culture built by engineers, for engineers. Flat hierarchies and a "no-nonsense" approach to development.
  • State-of-the-Art Challenges: Work on the most difficult problems in robotics and autonomous driving.
  • Flexibility: Results-based performance with flexible working hours.
  • Competitive Salary: A high-tier compensation package that values your specialized technical skills.

Join the Mission

If you are ready to build the spatial intelligence for the next generation of autonomous mobility, we want to hear from you.

Apply Now
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