Robotics (Software) Engineer

Who we are  OTIV is a Ghent-based company leading the autonomous revolution in rail. We are on a mission to increase safety and efficiency of railway operations by teaching rail vehicles to drive autonomously. By making trains more efficient and safer, we actively contribute to a modal shift and a greener future. We bring this vision to life by a unique focus on the most challenging environments such as cities, shunting yards and industrial sites. Thanks to high-profile partners and world-leading clients such as Deutsche Bahn, SNCF Group, ArcelorMittal and CAF we deliver the future of railway operations today.    OTIV  is an equal opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals and in which personnel processes are merit-based and applied without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military service status, citizenship, or other protected characteristic. OTIV strives to create an environment in which all employees feel confident in their ability to bring their authentic selves to work and secure collaborating with colleagues and customers.

What you will do As a Robotics Software Engineer, you will be involved in product development related to ADAS (Advanced Driver Assistance Systems). The topics you will be working on include collision avoidance, sensor fusion and sensor calibration. The goal of  your work is to deliver robust, performant and testable real-time software. You will closely collaborate with the team members to ensure seamless product deliveries. We are looking for someone who can effectively combine machine learning solutions with traditional computer vision algorithms and heuristics to solve perception and decision-making challenges in complex environments.

Tasks and responsibilities  • Algorithm design, implementation and testing • System-level testing and validation • Proof-of-concept implementations in Python/C++/Rust • Production-ready implementations in C++/Rust • Integrate both ML-based and rule-based approaches to perception and control problems • Close collaboration with machine learning, data, and other software engineers • Be up-to-date with state-of-the-art ADAS developments