Our client is a software development company creating AI-powered conversational commerce solutions that help brands engage customers and accelerate conversions across social media. By combining artificial intelligence with thoughtful conversation design, the company enables interactive experiences including personalized recommendations, promotions, subscriptions, and exclusive product launches.
The organization offers a collaborative, technically ambitious culture where engineers take meaningful ownership of products used by real customers. Employees work at the intersection of AI, automation, and customer experience while contributing to innovative technology with practical business impact. Based in Tokyo, the company supports a hybrid work environment and brings together talented, international teams.
As a SLAM & Navigation Engineer, you will own key elements of localization, mapping, and navigation within the company’s robotics operating system. You will develop and deploy robust SLAM, visual-inertial odometry, and LiDAR-inertial odometry solutions using real sensor data on physical platforms.
Your responsibilities will include designing estimation and optimization pipelines, processing point clouds, calibrating multi-sensor systems, and integrating solutions with ROS or ROS 2 on Linux. You will investigate and resolve odometry and navigation issues in real-world environments, including dense pedestrian settings. You will also optimize algorithms for Jetson-class edge platforms, validate performance in simulation and on robots, and define navigation acceptance tests. This role offers substantial ownership from research through production deployment.
