Robotics Engineer - SLAM & State Estimation

Do you want to dive into the fast-growing industry of drones and get a rewarding experience in a dynamic scale-up environment?  At Flyability, we believe that robots should be sent into hazardous places and dangerous situations instead of humans. To support our belief, we created Elios, the world’s first collision-tolerant flying robot that for the first time allows remote entry to complex and indoor spaces. With more than 130 employees, Flyability is the pioneer in the UAV indoor inspection industry. Joining Flyability is not just taking on a new job, it is seizing the opportunity to improve the life of millions of people and build the future of robotics. To complete our creative and dynamic team in Lausanne, we are seeking a: Robotics Engineer – SLAM & State Estimation (100%) Starting date: as soon as possible

Your role: As a member of the Autonomy team, you will develop, implement, and optimize real-time SLAM (Simultaneous Localization and Mapping) and state-estimation systems for Flyability’s inspection drones. Your work will focus on achieving robust localization and high-quality mapping in challenging GPS-denied environments. You will contribute to both algorithm development and system integration, ensuring reliable performance under onboard compute and deployment constraints. The role involves close collaboration with teams across the company and regular testing in real-world field environments. What you will own:  • Design, implementation, and optimization of real-time SLAM and state-estimation pipelines for onboard deployment • Development of sensor fusion algorithms combining LiDAR, IMU, and camera data • Evaluation and debugging of localization and mapping performance in simulation and real-world testing • Contributions to mapping and reconstruction pipelines used for inspection outputs (e.g. photogrammetry, digital twins, emerging methods such as Gaussian splatting) • Close collaboration with perception, autonomy, and product teams to ensure robust and integrated system performance