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:
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Design, implementation, and optimization of real-time SLAM and state-estimation pipelines for onboard deployment
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Development of sensor fusion algorithms combining LiDAR, IMU, and camera data
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Evaluation and debugging of localization and mapping performance in simulation and real-world testing
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Contributions to mapping and reconstruction pipelines used for inspection outputs (e.g. photogrammetry, digital twins, emerging methods such as Gaussian splatting)
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Close collaboration with perception, autonomy, and product teams to ensure robust and integrated system performance
Requirements
Your profile:
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5+ years developing SLAM or state-estimation systems in real-world robotics
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Strong robotics fundamentals: Kalman filtering, sensor fusion, feature extraction and matching, pose graph optimization, and 3D orientation representations (quaternions, Euler angles)
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Proven track record with place recognition and loop closure detection algorithms
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Hands-on work with LiDAR, IMU, and camera data, including multi-sensor fusion for robust estimation
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Application of machine learning techniques to localization or mapping (e.g. learned features, pose networks, depth prediction)
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Proficiency in C++ and/or Rust and Python with solid software engineering practices
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Familiarity with semantic mapping systems
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Comfortable debugging complex robotic systems in the field and contributing to real-world testing and deployment
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Experience with drones or embedded robotic platforms is a plus
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Fluent in English; French is a plus
Benefits
Perks & Benefits You'll Love:
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Enjoy 25 vacation days per year, plus all public holidays to recharge and explore
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Additional days off are granted based on your seniority with us, up to 5 days
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Stay secure with comprehensive accident insurance covering medical treatments and hospitalization
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Work your way with flexible schedules and the option to work remotely up to 2 days per week
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Boost your well-being with discounts on gym memberships and sports events
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Access exclusive benefits through Swibeco, our platform that offers discounts and rewards at a wide range of retailers and services
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Connect with your team at exciting events like our ski weekend, summer barbecue, and after-work gatherings
… and so much more! Apply now to discover all we have to offer.
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.
