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 environments instead of humans. To support our belief, we created Elios, the world's first collision‑tolerant flying robot that can safely enter, survey, and inspect confined spaces so that people don't have to. With more than 130 employees, Flyability is the pioneer in the UAS indoor inspection industry. Joining Flyability is not just taking on a new job; it is seizing the opportunity to improve the lives of millions of people and contribute to the future of robotics.
Robotics Engineer Intern – SLAM (100%)
Ideal starting date:
01.08.2026
Your role:
In this role, you'll contribute to one of the key challenges in autonomous robotics: enabling robots to reliably localize themselves within previously visited environments. You will work on our next‑generation SLAM system with a focus on global relocalization for autonomous drones. Your mission will be to research, benchmark, and develop state‑of‑the‑art approaches for place recognition and map relocalization under real‑world conditions, while ensuring robustness against ambiguity and incorrect matches.
Working directly on the Elios 3 platform, you will bridge state‑of‑the‑art research with real‑world deployment and contribute to core technologies enabling long‑term autonomy.
What you will own:
Global Relocalization: research, benchmark, and implement state‑of‑the‑art approaches for relocalization into previously built maps
Place Recognition: investigate visual, geometric, and learning‑based methods for place recognition and evaluate probabilistic approaches such as particle filters for robust global localization
False Positive Detection: develop methods to identify and reject incorrect localization candidates and improve system robustness against perceptual aliasing and ambiguous environments
SLAM Integration & Validation: integrate your work into an existing SLAM framework and evaluate performance using simulation and real‑world datasets
Performance Analysis: define and evaluate metrics such as localization accuracy, robustness, computational efficiency, and failure modes
Requirements
Currently pursuing a Master’s degree in Robotics, Computer Science, or a related engineering field
Previous experience in robotics, SLAM, localization, computer vision, or related fields
Strong programming skills in C++ and Python
Familiarity with concepts such as state estimation, mapping, visual localization, place recognition, or probabilistic robotics
Experience with modern robotics and machine learning approaches is a plus
Experience with robotics hardware is a plus
Comfortable reading and implementing ideas from scientific literature
Hands‑on mindset with strong analytical skills and curiosity for solving open‑ended research challenges
Curious, motivated, and eager to work in a real‑world environment
Fluent in English. French or other languages are a plus
Flyability is a Swiss company with over 10 years of experience 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 considered as we collaborate to achieve our goals.
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.
#J-18808-Ljbffr
At Flyability, we believe that robots should be sent into hazardous places and dangerous environments instead of humans. To support our belief, we created Elios, the world's first collision‑tolerant flying robot that can safely enter, survey, and inspect confined spaces so that people don't have to. With more than 130 employees, Flyability is the pioneer in the UAS indoor inspection industry. Joining Flyability is not just taking on a new job; it is seizing the opportunity to improve the lives of millions of people and contribute to the future of robotics.
Robotics Engineer Intern – SLAM (100%)
Ideal starting date:
01.08.2026
Your role:
In this role, you'll contribute to one of the key challenges in autonomous robotics: enabling robots to reliably localize themselves within previously visited environments. You will work on our next‑generation SLAM system with a focus on global relocalization for autonomous drones. Your mission will be to research, benchmark, and develop state‑of‑the‑art approaches for place recognition and map relocalization under real‑world conditions, while ensuring robustness against ambiguity and incorrect matches.
Working directly on the Elios 3 platform, you will bridge state‑of‑the‑art research with real‑world deployment and contribute to core technologies enabling long‑term autonomy.
What you will own:
Global Relocalization: research, benchmark, and implement state‑of‑the‑art approaches for relocalization into previously built maps
Place Recognition: investigate visual, geometric, and learning‑based methods for place recognition and evaluate probabilistic approaches such as particle filters for robust global localization
False Positive Detection: develop methods to identify and reject incorrect localization candidates and improve system robustness against perceptual aliasing and ambiguous environments
SLAM Integration & Validation: integrate your work into an existing SLAM framework and evaluate performance using simulation and real‑world datasets
Performance Analysis: define and evaluate metrics such as localization accuracy, robustness, computational efficiency, and failure modes
Requirements
Currently pursuing a Master’s degree in Robotics, Computer Science, or a related engineering field
Previous experience in robotics, SLAM, localization, computer vision, or related fields
Strong programming skills in C++ and Python
Familiarity with concepts such as state estimation, mapping, visual localization, place recognition, or probabilistic robotics
Experience with modern robotics and machine learning approaches is a plus
Experience with robotics hardware is a plus
Comfortable reading and implementing ideas from scientific literature
Hands‑on mindset with strong analytical skills and curiosity for solving open‑ended research challenges
Curious, motivated, and eager to work in a real‑world environment
Fluent in English. French or other languages are a plus
Flyability is a Swiss company with over 10 years of experience 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 considered as we collaborate to achieve our goals.
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.
#J-18808-Ljbffr
Robotics Engineer Intern - SLAM Arbeitgeber: Flyability
Flyability ist ein hervorragender Arbeitgeber, der innovative Technologien im Bereich der Robotik vorantreibt und seinen Mitarbeitern die Möglichkeit bietet, an bedeutenden Projekten zu arbeiten. Mit einem inspirierenden Arbeitsumfeld in der Schweiz fördert das Unternehmen eine Kultur der Zusammenarbeit und des kreativen Denkens, während es gleichzeitig umfangreiche Wachstums- und Entwicklungsmöglichkeiten für Praktikanten bietet. Hier haben Sie die Chance, Ihre Fähigkeiten in einem dynamischen Team einzubringen und einen echten Einfluss auf die Zukunft der Robotik zu nehmen.
