Das ist der Job
The future of mobility isn’t just coming; we’re building it.
Darum lohnt es sich
Our in‑house AI is paving the way for Europe’s first certifiable system, backed by a team of experts who have been innovating hand‑in‑hand since 2017. At the heart of our mission is the drive to bring Level 4 autonomous technology to Germany. We don’t just follow trends – we lead the transformation.
Tasks Design, develop, and optimize high‑performance C++ software for real‑time autonomous systems. This includes the implementation of ROS2 nodes, optimization of ROS2 processing pipelines, and continuous improvement of software architecture to achieve maximum performance, reliability, and scalability.
Design and implement a robust, high‑performance computer vision stack based on classical computer vision techniques, while developing hybrid CPU/CUDA solutions for computationally intensive perception and image‑processing pipelines.
Support the integration of machine learning models by developing efficient inference pipelines, applying runtime optimizations such as quantization, and contributing to model deployment, training, and integration workflows when required.
In addition, you will contribute to scalable data pipelines, support the overall software architecture of the autonomous vehicle stack – including SOTIF considerations – and participate in field testing and experimental validation activities.
Requirements Bachelor’s or Master’s degree in Computer Science, Robotics, Machine Learning, Computer Vision or a relate
