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 a:
Robotics Engineer Intern - SLAM & State Estimation (100%)
Starting date: as soon as possible
Your role:
As an intern in the Autonomy team, you will support the development and evaluation of real-time SLAM (Simultaneous Localization and Mapping) and state estimation systems for Flyability’s inspection drones. Your work will contribute to improving localization and mapping performance in GPS-denied, real-world environments using data from LiDAR, IMU, and cameras.
You will be involved in prototyping, testing, and analyzing algorithms under the guidance of experienced engineers. The internship will give you hands-on exposure to algorithm development, sensor fusion, and system integration, with opportunities to validate your work in real-world field tests.
What you will own:
- Contribute to the design and testing of SLAM and state estimation pipelines using LiDAR, IMU, and camera data
- Support the development and tuning of sensor fusion algorithms under guidance from the team
- Run evaluations in simulation and participate in field tests to analyze system performance
- Help identify and debug localization and mapping issues in collaboration with our other teams
Requirements
Your profile:
- Currently pursuing a Master’s degree in Robotics, Computer Science, or a related engineering field
- Solid understanding of robotics fundamentals, such as Kalman filtering, sensor fusion, feature extraction and matching, pose graph optimization, and 3D orientation representations (e.g. quaternions, Euler angles)
- Some hands-on experience with SLAM or state estimation systems, either through coursework, projects, or previous internships
- Familiarity with LiDAR, IMU, and camera data, and interest in fusing multi-sensor information for localization and mapping
- Proficient in C++ and Python, with good software engineering practices
- Exposure to ROS1/ROS2 and experience debugging robotic systems is a plus
- Curious, motivated, and eager to work in a real-world robotics environment
- Fluent in English; proficiency in additional languages is a 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.
