Autonomous Driving Engineer – Next Generation AV Systems

About the role

We are building a real driverless vehicle from scratch on public roads with real safety requirements. You'll help define and ship the next generation of autonomous driving, with freedom to explore and combine whatever approaches deliver the best real-world results across the full stack: sensors, AI, and vehicle actuation.

What you'll do

• Design, build, test, and ship our autonomous driving stack across perception, scene understanding, sensor fusion, localization, prediction, planning, and vehicle control
• Develop and deploy AI models for real-world driving on embedded platforms (NVIDIA Jetson)
• Integrate multi-sensor systems spanning cameras, radar, LiDAR, GNSS/IMU, and vehicle state
• Connect software with real vehicles through CAN, drive-by-wire, and safety controllers
• Build infrastructure for data collection, labeling, simulation, replay, and shadow mode testing
• Debug problems at the intersection of AI, robotics, embedded systems, and vehicle hardware
• Ship improvements into real vehicles every week

What you'll need

• Generalist engineer comfortable moving between ML, robotics, software engineering, and embedded systems
• Built real systems taken from idea to deployment to field test
• Strong background in one or more of: deep learning, computer vision, sensor fusion, planning and control, localization/SLAM, real-time systems, or GPU optimization
• Experience with Python, C++, PyTorch, CUDA, TensorRT, ROS2, Linux, Docker, or GStreamer
• Make good technical decisions with incomplete information and don't need a perfect spec to get started

Nice to have

• Experience with Autoware, NVIDIA tooling, or real vehicle deployment

What they offer

• Competitive salary and meaningful equity
• Work directly with the founders with massive ownership from day one
• Based in Berlin, building globally relevant technology