Senior Software Engineer - SLAM

Swiss-Mile Robotics AG is a deep-tech startup that connects AI with the physical world through autonomous wheeled-legged robots. These robots are designed to revolutionize monitoring, security, logistics applications, and beyond. Backed by leading global venture capitalists, we are on a mission to enhance our team with world-class talent. Join our innovative team, renowned for pioneering robotic design and neural network applications in robotics that improve environmental understanding and decision-making. With a robust research foundation and notable contributions from ETH Zurich, we are leaders in translating artificial intelligence and robotics into practical, real-world applications.

Our robot requires precise and real-time localization, which it achieves by utilizing onboard sensors such as IMUs, lidar, and cameras, alongside a given map. In environments without existing maps, the robot must dynamically create a map while simultaneously localizing itself within it. We are currently seeking a Senior Software Engineer in laser- and camera-based localization techniques and SLAM (Simultaneous Localization and Mapping) to enhance these capabilities. In this role, you will lead our localization efforts focused on enabling our robots to navigate autonomously. If you are passionate about robotics and driven to innovate in SLAM and localization, we encourage you to join us in shaping the future of intelligent robotics.

• Develop state-of-the-art, online and offline localization and SLAM algorithms by fusing information from lidar, cameras, IMUs, GNSS, and other sensors.
• Design, validate and improve your algorithms on challenging real-world data.
• Update the environment map dynamically using data continuously gathered from ongoing robot deployments.
• Create robust sensor calibration systems that perform reliably in complex and unpredictable environments.
• Develop an efficient workflow to accurately capture the initial map of deployment sites, both with and without the robot's direct involvement.
• Explore innovative methods for advancing SLAM and localization algorithms using deep learning and semantic understanding.
• Implement deployment-ready code for the real robot, optimized for the robot’s computational constraints.
• Provide expert guidance to product managers and executives for strategic decision-making.
• Create and maintain documentation, guidelines, and best practices to streamline knowledge sharing.

• Master’s degree or higher in a relevant field such as Engineering, Robotics, Machine Learning, Computer Science or a similar discipline.
• A minimum of five years of industry or research experience, with PhD experience applicable.
• Strong mathematical fundamentals including linear algebra, vector calculus, probability theory, and mathematical optimization along with relevant implementation experience.
• Strong background in robotics or autonomous driving, with expertise in areas such as Bayesian estimation, classical or neural structure-from-motion, 3D reconstruction, SLAM, odometry, Kalman filtering, and bundle adjustment.
• Experience with deploying SLAM or localization on hardware platforms.
• Ability to write production-level code in modern C++.
• Ability to prototype algorithms and train deep neural networks in Python.

• PhD degree in Robotics, Engineering, Computer Science or a similar discipline, or an equivalent amount of research experience.
• Publications at top-tier conferences.
• Experience in managing a software team.

We are looking forward to receive your application.