<div>ANYbotics is a fast-growing tech company dedicated to shaping the future of mobile robotics across multiple industries. Join our highly talented and motivated team of more than 190 people and work on cutting-edge robot technology.</div><div><br /></div><div><b>The Opportunity</b></div><div><br /></div><div><span>Join our team to advance ANYmal capabilities, our cutting-edge four-legged robot designed for fully autonomous industrial inspection missions. As a Software Engineer in Robotics, focused on Task Planning &amp; Reasoning, you will develop the </span><b>decision-making</b><span> and task-planning capabilities that enable ANYmal to reliably and intelligently inspect industrial facilities, even in complex and dynamic environments. Your work will directly impact how ANYmal plans, prioritizes, and executes inspection tasks, ensuring high autonomy, safety, and operational efficiency in critical infrastructure settings. </span></div><div><br /></div><div><br /></div><div><b>About Us:</b></div><div><span>ANYbotics is a leading robotics company specializing in advanced autonomous systems. With a successful Series B financing round recently closed, we are poised for rapid growth and international expansion. Our mission is to revolutionize the robotics industry through cutting-edge technology and innovation. As we embark on this exciting journey, we are seeking a dynamic and experienced Navigation Engineer to join our team and help us shape the future of robotics.</span></div><div><br /></div><div><br /></div><div><b>Market &amp; Technology</b></div><div><br /></div><div><span>ANYbotics transforms industrial plants in the (renewable) energy, process, and utility sectors by introducing robotics to a wide range of novel applications that so far were beyond reach. Our mobile robot ANYmal uses legs for extreme mobility in complex environments, camera- and LIDAR-based sensing for full autonomy and obstacle avoidance to perform jobs and deliver high-quality, consistent inspection results. We develop numerous customized hardware systems, including the entire robotic platform, actuators, sensors, inspection payloads, charging systems, and all related ANYbotics electrical hardware.</span></div><h3>Your Contributions</h3><ul><li>Develop and implement task-level planning, policy, and reasoning algorithms and architectures for robotic systems operating in semi-structured environments with high uncertainty fully autonomously</li><li>Build reusable, modular, and scalable software for robot task planning and execution</li><li>Design, simulate, debug, validate, and optimize planning software for real-time execution and safety-critical scenarios</li><li>Drive the deployment and continuous improvement of planning and decision-making systems on real hardware</li><li>Apply state-of-the-art AI/ML and optimization methods to improve robotic policy performance and adaptability</li><li>Collaborate cross-functionally with perception, locomotion, navigation, and systems teams to integrate planning algorithms into robust, production-quality robotic solutions</li><li>Contribute to technical roadmaps and help define future architectures for autonomy and robot cognition</li></ul><h3>Your Profile</h3><ul><li>Bachelor’s or Master’s degree in Computer Science, Robotics, Artificial Intelligence, or a related engineering discipline (PhD a plus)</li><li>Proven experience of developing task or motion planning software for robotic systems</li><li>Solid understanding of AI planning, decision-making, or policy synthesis (e.g., MDPs, POMDPs, hierarchical planning, behavior trees)</li><li>Written and deployed production code in C++ and Python</li><li>Ability to develop and deploy production-quality, real-time systems for robotics</li><li>Familiarity with ROS or similar robotic middleware frameworks</li><li>Experience with robotic simulation tools (e.g., Gazebo, Isaac Sim, Mujoco, Genesis)</li><li>Comfortable working with cross-disciplinary teams, including perception, controls, and hardware</li><li>Demonstrated problem-solving, communication, and collaboration skills</li></ul><h3>Bonus Points</h3><ul><li>Experience with ROS</li><li>Experience with finite state machines, behavior trees and/or optimization algorithms</li><li>Experience with task planning with visual language models</li><li>You have applied machine learning to train and deploy on real robots.</li><li>You have a good understanding of state-of-the-art algorithms in robotics</li></ul><div>We offer you a very exciting and dynamic work environment, the opportunity to become part of a fast-growing company and an ambitious team that is on a mission to change the industrial inspection market, a chance to leverage your experience and bring in your own ideas, a fair market salary, an attractive employee stock ownership plan, and a job in the city of Zurich.</div>