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ANYboticsAN

Senior Robotics Engineer - Task Planning & Reasoning

ANYbotics is a leader in AI-driven robotic inspection solutions, enhancing industrial safety and operational efficiency with autonomous technologies.

ANYbotics

Employee count: 51-200

Switzerland only
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.

The Opportunity

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 Reasoning, you will develop the decision-making 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.

About Us:

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.

Market Technology

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.

Your Contributions

  • 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
  • Build reusable, modular, and scalable software for robot task planning and execution
  • Design, simulate, debug, validate, and optimize planning software for real-time execution and safety-critical scenarios
  • Drive the deployment and continuous improvement of planning and decision-making systems on real hardware
  • Apply state-of-the-art AI/ML and optimization methods to improve robotic policy performance and adaptability
  • Collaborate cross-functionally with perception, locomotion, navigation, and systems teams to integrate planning algorithms into robust, production-quality robotic solutions
  • Contribute to technical roadmaps and help define future architectures for autonomy and robot cognition

Your Profile

  • Bachelor’s or Master’s degree in Computer Science, Robotics, Artificial Intelligence, or a related engineering discipline (PhD a plus)
  • Proven experience of developing task or motion planning software for robotic systems
  • Solid understanding of AI planning, decision-making, or policy synthesis (e.g., MDPs, POMDPs, hierarchical planning, behavior trees)
  • Written and deployed production code in C++ and Python
  • Ability to develop and deploy production-quality, real-time systems for robotics
  • Familiarity with ROS or similar robotic middleware frameworks
  • Experience with robotic simulation tools (e.g., Gazebo, Isaac Sim, Mujoco, Genesis)
  • Comfortable working with cross-disciplinary teams, including perception, controls, and hardware
  • Demonstrated problem-solving, communication, and collaboration skills

Bonus Points

  • Experience with ROS
  • Experience with finite state machines, behavior trees and/or optimization algorithms
  • Experience with task planning with visual language models
  • You have applied machine learning to train and deploy on real robots.
  • You have a good understanding of state-of-the-art algorithms in robotics
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.

About the job

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Job type

Part Time

Experience level

Senior

Location requirements

Hiring timezones

Switzerland +/- 0 hours

About ANYbotics

Learn more about ANYbotics and their company culture.

View company profile

ANYbotics is a pioneering company in the field of autonomous robotics, aiming to revolutionize industrial inspections with its innovative solutions. Founded in 2016 as a spin-off from ETH Zurich, the company focuses on creating advanced legged robots that enhance safety, efficiency, and sustainability across various industries. With the introduction of their flagship product, ANYmal, ANYbotics has positioned itself as a leader in the autonomous robotic inspection market.

A pivotal aspect of ANYbotics' approach is its commitment to improving both human and industrial operations. By leveraging cutting-edge technology, the company enables businesses to conduct real-time health assessments of their equipment, minimizing downtime and optimizing maintenance processes. ANYmal's capabilities make it suitable for harsh environments, ensuring reliability and high availability in routine inspections. The robots are trusted by industry giants, including Petronas and Shell, who utilize these solutions to tackle critical challenges in safety and environmental sustainability. Through strategic partnerships and a strong focus on innovation, ANYbotics is shaping the future of robotics in heavy industries.

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