Futurail builds a full autonomy platform for autonomous rail vehicles, using C++, Rust, Python, and ROS 2 alongside a data infrastructure layer (Kubernetes, AWS, MinIO, GCS). The project portfolio reveals a company working on foundational autonomous-vehicle problems—localization, mapping, obstacle detection, collision avoidance—while simultaneously building the safety and certification infrastructure required for rail-certified systems. Early-stage hiring skews senior (3 leads, 3 seniors across 6 roles) and engineering-heavy, typical of autonomy startups scaling safety-critical software.
Futurail develops an autonomy software stack purpose-built for self-driving trains. The company operates from Munich and Strasbourg, founded in 2023 by engineers with backgrounds in autonomous driving and rail systems. The product integrates perception (LiDAR, deep learning), planning, localization and mapping, and collision-avoidance logic into a unified platform. Core technical work spans autonomous train control systems, safety certification (SIL processes, safety cases), cloud infrastructure for training data pipelines, and CI/CD optimization. The company is actively hiring across engineering, data, and operations roles in Germany.
Futurail uses C++, Rust, Python, and ROS 2 for core autonomy logic; Kubernetes and AWS for cloud infrastructure; Docker, Bazel, and Ansible for deployment and configuration; and MinIO and GCS for data storage.
Futurail is developing safety-certified autonomous train control systems, including localization, mapping, obstacle detection, and collision avoidance. Key projects include developing safety cases for certification, building scalable sensor data pipelines, and optimizing CI/CD and build system performance.
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