Author: tilman

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:

• 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:

• Strong experience in Linux system administration (Ubuntu/Debian-based preferred)
• Solid knowledge of HPC environments and workload schedulers (e.g., Slurm)
• Experience with distributed storage systems (e.g., Ceph or similar)
• Familiarity with automation and configuration management tools (e.g., Ansible)
• Experience administering network services (LDAP, mail servers, web services, etc.)
• Good understanding of networking fundamentals and security best practices

It’s a plus if you have:

• Experience with C++, CUDA, Python or Rust
• Knowledge of Linux kernel or low-level hardware programming
• Web development experience

We are looking for an experienced engineer to strengthen our team in developing and deploying embedded software for autonomous vehicles and robotic platforms.

In this role, you’ll:

• Develop and maintain low-level software for embedded systems (C/C++, Linux)
•  Develop high-performance computer vision and deep learning primitives on specialized accelerator chips
• Deploy and optimize our software stack on embedded hardware platforms
• Build and integrate camera, radar, LiDAR, and other sensor systems
• Develop systems for time-synchronized multi-sensor data recording (PTP, triggering, timecode)
• Support selection, integration, and bring-up of embedded systems
• Collaborate closely with perception teams to ensure robust and high-performance operation

We require you to have:

• Strong experience in low-level and embedded software development (C/C++)
•  Solid understanding of Linux and OS-level programming
• Experience with embedded systems
• Scripting skills (Python, Shell)
• Basic knowledge of electronics

It’s a plus if you have:

• Experience with ISP, camera drivers, or sensor interfaces
• Knowledge of accelerator platforms (e.g., GPU, DSP, NPU)
• Experience with time synchronization (PTP, PPS, gPTP)
• Familiarity with automotive communication (CAN, Automotive Ethernet)
• Experience with multi-sensor systems and calibration
• Knowledge of functional safety (ISO 26262)

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