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!
The Role
As a Perception Intern, you'll build multi-modal perception pipelines that fuse cameras, LiDAR, and audio to give our robots robust situational awareness in the field. You'll ship code that runs on real robots in real environments, and learn how to take perception research into production where data is noisy and conditions change.
This role is highly practical: you'll help design fusion pipelines, evaluate against real field data, and integrate perception modules into our autonomy stack. You'll get exposure to the messy reality of outdoor sensing that academic benchmarks rarely capture.
What You'll Work On
Build multi-modal perception pipelines fusing camera, LiDAR, and audio inputs.Develop calibration tools for multi-sensor setups.Evaluate perception modules on field-collected data across varied conditions.Contribute to ROS 2 integrations and downstream autonomy interfaces.Run experiments on edge cases: weather, lighting, occlusion, sensor faults.Apply solid engineering practices: Docker, version control, reproducible experiments.Who We're Looking For
We're looking for a motivated 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, Computer Vision, or a closely related field.Familiarity with multi-sensor systems (camera, LiDAR, IMU, or audio arrays).Hands-on experience with ROS 2 or similar robotics middleware.Good coding skills in C++ and/or Python.Comfortable using Docker and Git in your workflows.Strong problem-solving mindset.Nice to Have:
Background in sensor fusion, multi-modal learning, or calibration.Experience with point cloud processing libraries (PCL, Open3D).Familiarity with acoustic processing or audio-based perception.Exposure to real-world robotics field testing.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.
