Our Mission
At Laelaps AI, we believe robotics is entering a transformative decade, much like the arrival of the internet. Advances in AI, cloud computing, and hardware are reshaping what autonomous systems can do. Our mission is to build the intelligent software that powers physical security in the real world - enabling robots and sensors to handle dangerous and critical tasks that humans shouldn't have to. By engineering the orchestration layer for intelligent security, we aim to create a world that is safer, more secure, and more resilient.
We're a strong founding team based in Zurich, backed by visionary investors and advisors. We are engineering the future of security today!
What You'll Work On
Implement and test SLAM modules for mobile robot navigation.Develop and evaluate path planning and control algorithms.Contribute to sensor fusion across cameras, LiDAR, IMU, and GPS.Support navigation stack improvements including local planning and obstacle avoidance.Run field tests on real robots and turn failures into reproducible test cases.Apply solid engineering practices: Docker, version control, reliable testing setups.Who We're Looking For
We're looking for a motivated robotics student excited to apply academic training in a fast-moving startup. You'll be surrounded by a team that values learning, experimentation, and building things that actually work in the real world.
Your Background:
Currently pursuing PhD or recently completed a Master's degree in Robotics or a closely related field.Hands-on experience with ROS 2 and Linux-based development.Familiarity with SLAM, path planning, or robot navigation algorithms.Comfortable using Docker and Git in your workflows.Good coding skills in C++ and/or Python.Strong problem-solving mindset and eagerness to get robots moving in the real world.Nice to Have:
Experience with advanced ROS 2 navigation stack configurations.Background with mobile robots, simulations (Gazebo, IsaacSim), or real hardware tests.Familiarity with multi-sensor calibration.What We Offer
Mission: Build the foundation models that decide how robots see, reason, and act in the real world. Research with deployment, not papers without impact.Autonomy: Real independence on what to train, how to evaluate, and how to ship.Compute: Access to the compute and field data you need to do serious work.Team: Work alongside PhD-level co-founders in AI, Robotics, and Physics, plus a strong founding engineering team.Location: In-person in Zürich, Switzerland.Culture: Small, international founding team that's serious about building, but doesn't take itself too seriously. Curiosity and quirks welcome.
