Autonomy Engineer - SLAM & State Estimation

Do you want to dive into the fast-growing industry of drones and get a rewarding experience in a dynamic start-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 100 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 an:

Autonomy Engineer – SLAM & State Estimation
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, real-time localization and mapping in challenging GPS-denied environments.

You will contribute to both algorithm development and system integration, ensuring reliable performance under deployment constraints. The role involves close collaboration with colleagues across our different teams, as well as regular testing in real-world field conditions.

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 data from LiDAR, IMU, and cameras
• Evaluation and debugging of localization and mapping performance in both simulation and real-world testing
• Close collaboration with our different teams to ensure robust and integrated system performance

Your profile:

• 5+ years experience developing SLAM or state estimation systems in real-world robotics applications
• Strong understanding of robotics fundamentals, including Kalman filtering, sensor fusion, feature extraction and matching, pose graph optimization, and 3D orientation representations (e.g. quaternions, Euler angles)
• Experience applying machine learning techniques to localization, mapping, or related estimation tasks (e.g. learned features, pose networks, depth prediction)
• Experience working with LiDAR, IMU, and camera data, and fusing multi-sensor information for robust estimation
• Proficient in C++ and Python, with solid software engineering practices
• Familiarity with ROS and debugging complex robotic systems in the field
• Comfortable working in a cross-functional team and contributing to real-world testing and deployment
• Experience with drones or embedded robotic platforms is a strong plus

Flyability is a young Swiss company that values independent thinking combined with a collaborative spirit. Every day, you will have the opportunity to share your ideas and contribute to solving problems. We all work together, and each voice is important to move forward.

Ready to join?

We know the confidence gap and impostor syndrome can get in the way of meeting spectacular candidates, so please don't hesitate to apply —regardless of your past experience or resume, we'd love to hear from you.