Design and evaluate computer vision and perception algorithms for robotic manipulation, including recognition, segmentation, pose estimation, scene understanding, and 3D perception. Advance robust, data-efficient methods, test them on real robots, and translate research prototypes into production-ready components. Collaborate with robot learning and integration teams while helping shape the company’s long-term research agenda.

Integrate and deploy robotics AI software across humanoids, mobile manipulators, and industrial arms. Responsibilities include designing ROS 2 architectures, implementing controllers, containerizing systems with Docker, integrating vendor SDKs, building system-level testing pipelines, debugging hardware/software interfaces, commissioning customer deployments, and improving reliability, observability, and autonomous operation. The role is based in Paris and requires approximately one week of travel per month, primarily within France.

Research Engineer developing few-shot, data-efficient imitation learning algorithms for robots. Responsibilities include designing and evaluating policy and representation learning methods, conducting experiments on real robots, improving data and evaluation infrastructure, and translating research prototypes into robust production algorithms. The role collaborates with vision, perception, and integration teams to deploy learning systems in industrial environments and help shape the company’s long-term research agenda.