Author: tilman

In this role, you’ll:

• Develop and maintain various desktop applications for data labeling and visualization
• Design and implement intuitive and high-performance graphical user interfaces using Qt
• Design strategies and architectures for working with large, distributed datasets and multi-user labeling workflows (e.g., synchronization, incremental updates, and conflict handling)
• Contribute to system design decisions for scalable labeling tools and data pipelines

We require you to have:

• Strong proficiency in C++ and Qt (Qt Widgets, Qt Quick/QML, or both)
• Experience developing complex desktop applications
• Solid understanding of software engineering principles, design patterns, and clean code practices
• Experience with version control systems (e.g., Git)
• Ability to work independently and communicate effectively in a team

It’s a plus if you have:

• Basic web development experience
• Experience with Python or other scripting languages for tooling or automation
• Knowledge of data visualization frameworks or handling large datasets
• Experience with cross-platform development (Windows, Linux, macOS)
• Familiarity with CI/CD pipelines and automated testing

In this role, you’ll:

• Develop ML-based motion planners that navigate complex urban environments safely
• Lead experiments in End-to-End (E2E) driving and high-level maneuver planning
• Investigate the use of Foundation Models/VLA for interpretable decision-making and “reasoning” in edge cases
• Bridge the gap between perception outputs and control commands using probabilistic frameworks
• Work on large ML models and big data with our ever growing in-house compute
• Test your software in our self-driving vehicle

We require you to have:

• MSc/PhD in Computer Science, Robotics or equivalent experience
• Experience with sequence to sequence modelling with transformers and / or foundation models
• Strong experience programming in C++ and Python
• A strong team player and learning mindset

It’s a plus if you have:

• Hands-on experience in the fields of autonomous driving and computer vision
• Background in Reinforcement Learning (RL), Imitation Learning, or Behavior Cloning
• Worked in mid to large software projects

In this role, you’ll:

• Improve core perception tasks: 3D Object Detection, Tracking, Segmentation, and Freespace estimation
• Build and scale Auto-labeling pipelines to reduce manual annotation costs and increase data diversity
• Implement robust tracking-by-detection algorithms in 3D space
• Work on large ML models and big data with our ever growing in-house compute
• Test your software in our self-driving vehicle

We require you to have:

• MSc/PhD in Computer Science, Robotics or equivalent experience
• Experience with deep learning in at least one sensor modality (camera / LiDAR/ RADAR), ideally using transformer based models
• Strong experience programming in C++ and Python
• A strong team player and learning mindset

It’s a plus if you have:

• Hands-on experience in the fields of autonomous driving and computer vision
• Knowledge of TensorRT, LibTorch, or ONNX for hardware-specific deployment
• Worked in mid to large software projects

In this role, you’ll:

• Advance our Fusion Strategy (Early/Middle/Late) to ensure robust performance in adverse weather and lighting
• Update and scale our multi-task backbones (e.g., Vision Transformers) to handle 360-degree sensor suites
• Reduce latency by optimizing core AI bottlenecks for production-grade SoC hardware
• Work on large ML models and big data with our ever growing in-house compute
• Test your software in our self-driving vehicle.

We require you to have:

• MSc/PhD in Computer Science, Robotics or equivalent experience
• Experience with deep learning in at least one sensor modality (camera / LiDAR/ RADAR), ideally using transformer based models
• Strong experience programming in C++ and Python
• A strong team player and learning mindset

It’s a plus if you have:

• Hands-on experience in the fields of autonomous driving and computer vision
• Knowledge of TensorRT, LibTorch, or ONNX for hardware-specific deployment
• Worked in mid to large software projects

In this role, you’ll:

• Develop and refine models for online road topology extraction and lane connectivity prediction
• Design graph-based or transformer architectures to represent complex intersections without HD maps
• Predicting geometric and temporally consistency map elements
• Work on large ML models and big data with our ever growing in-house compute
• Test your software in our self-driving vehicle

We require you to have:

• MSc/PhD in Computer Science, Robotics or equivalent experience
• Experience with transformers and / or graph neural networks architectures
• Strong experience programming in C++ and Python
• A strong team player and learning mindset

It’s a plus if you have:

• Hands-on experience in the fields of autonomous driving and computer vision
• Experience in applying machine learning to 3D scene understanding tasks
• Worked in mid to large software projects

In this role, you’ll:

• Develop and maintain C++ code, particularly for real-time data processing, including data acquisition, data management, visualization, and neural network inference
• Administer HPC clusters for deep learning workloads (Slurm, Ceph, etc.)
• Administer application servers (web services including Nextcloud, Fogejo, OpenProject, WordPress, ERP systems, etc.), mail, XMPP, SIP, LDAP
• Administer workstations using Ansible

We require you to have:

• Experience with CUDA, Python or Rust
• Experience with embedded development
• Experience working with Qt
• Knowledge of Linux kernel or low-level hardware programming
• Basic web development experience

It’s a plus if you have:

• Experience with CUDA, Python or Rust
• Knowledge of Linux kernel or low-level hardware programming

In this role, you’ll:

• Implement algorithms for large scale visual SLAM and 3D scene reconstruction
• Develop tools for manual and automatic creation of HD maps to train and test our ML models
• Build a data engine for continuous learning

We require you to have:

• MSc/PhD in Computer Science, Robotics or equivalent experience
• Experience in visual SLAM, sensor calibration, SfM, MVS, point cloud processing and optimization
• Strong experience programming in C++ and Python
• A strong team player and learning mindset

It’s a plus if you have:

• Hands-on experience in the fields of autonomous driving
• Experience in other fields of computer vision
• Experience processing IMU and GPS data
• Have worked in mid to large software projects