Robotics Engineering Intern - Spatial AI & Intelligent Robotics

• 01 July 2026 • 100% • Indefinite duration • Lausanne Do you want to dive into the rapidly growing drone industry and gain enriching experience in a dynamic scale-up environment? At Flyability, we believe that robots should be sent into dangerous places and risky environments instead of humans. To support this conviction, we created Elios, the world's first collision-tolerant flying robot, capable of safely entering, examining, and inspecting confined spaces so that people do not have to. With more than 130 employees, Flyability is the pioneer of the indoor inspection industry by UAS. Joining Flyability is not just taking a new position; it is seizing the opportunity to improve the lives of millions of people and contribute to the future of robotics. To complete our creative and dynamic team in Lausanne, we are looking for a: Robotics Engineering Intern - Spatial AI & Intelligent Robotics (100%) *Ideal start date: 01.08.2026* Your role: In this role, you will work at the intersection of robotics, AI, and spatial understanding to advance the way autonomous systems perceive, represent, and reason about complex environments. Working directly on our production-quality drone platform, the Elios 3, you will research, develop, and validate AI-driven capabilities that bridge the gap between cutting-edge research and real-world robotic applications. Working directly on the Elios 3 platform, you will bridge the gap between cutting-edge AI research and real robotics, and contribute to future human-robot interaction capabilities for industrial drones. What you will take on: • Spatial Representation: Research, design, and implement methods to represent and organize information about complex environments and their structure. • Knowledge Integration: Study approaches to combine perception results with contextual and domain-specific information to support intelligent system behavior. • AI for Robotics: Develop methods enabling AI systems to interpret and reason about environmental information to support the autonomous operation of robots. • System Integration & Evaluation: Integrate your work into an existing robotics stack and evaluate performance via simulation and experimental validation. • Performance Analysis: Define and evaluate metrics related to system performance, its robustness, efficiency, and overall behavior. • Currently in a Master's in Robotics, Computer Science, or a related engineering field • Previous experience in robotics, machine learning, spatial AI, semantic mapping, scene graphs, or similar fields • Strong Python programming skills • Familiarity with modern AI approaches such as vision-language models, LLM fine-tuning, retrieval-augmented generation (RAG) systems, graph-based representations, semantic mapping, or deep learning frameworks • Experience with robotic hardware is a plus • Comfortable reading and implementing ideas from scientific literature • Practical mindset with strong analytical skills and curiosity to solve open research challenges • Proficiency in English. French or other languages are a plus Flyability is a Swiss company with more than 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 every voice is taken into account in our collaboration to achieve our goals. Ready to join? We know that lack of confidence and imposter syndrome can prevent spectacular candidates from applying, so please do not hesitate to apply - regardless of your background or CV, we would be delighted to hear from you. Note on automated filtering: *Please note that Flyability uses automated eligibility questions as part of our initial selection process. If your application does not meet these mandatory requirements, it will be automatically excluded from further consideration. If you submit an application and believe it has been wrongly excluded by the system, you have the right to request a manual review. Please contact our HR team at jobs@flyability.com to request human intervention.*