Our Mission

At Laelaps AI, we believe robotics is entering a transformative decade, much like the arrival of the internet. Fueled by advances in AI, cloud computing, and hardware, we see a future where autonomous systems handle the dangerous and critical tasks that humans shouldn't have to. Our mission is to build the intelligent software that makes this possible, creating 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 our founding full-stack engineer, you will be the main architect of the Laelaps AI platform. This is a role with wide scope and autonomy, where you will own product features end-to-end, from the operator's real-time dashboard in React to the Python backend services and the critical data pipelines that connect them. You will not only write code but also establish the engineering standards that will define our software engineering culture.

Your core challenge? Bridging the physical and digital worlds. You'll work hand-in-hand with our robotics team to build the communications infrastructure that allows our robots and cloud intelligence to operate as a single, cohesive entity. This is your chance to shape a product from its first lines of code and build something that has a tangible impact in the real world.

What You'll Build & Own

Core Product Engineering:

• Frontend: Develop real-time dashboards and control interfaces for security operators using TypeScript and React.
• Backend: Design and build robust APIs, services, and data persistence layers using Python or Node.js. You'll handle everything from authentication to auditing.
• Data & Streaming: Engineer the pipeline for ingesting high-volume video and telemetry data (RTSP/WebRTC), ensuring reliability with robust eventing and back-pressure handling.

The Robotics Bridge:

• Integrate our cloud platform with the robotics team's ROS 2/DDS ecosystem, creating clean and resilient interfaces.
• Fine-tune Quality of Service (QoS) settings to balance latency and reliability for mission-critical commands and data.

Engineering Culture & Reliability:

• You will define the workflow and standards for software engineering at Laelaps AI. This means automating CI/CD and establishing best practices for testing, documentation, and safe, frequent releases.
• You'll build and manage our observability stack (metrics, logs, traces) and lead our incident response workflows to ensure the system is always reliable.

Leadership:

As a founding software engineer, you will be on a direct path to the Head of Software Engineering position as we expand. You will work closely with the founders on hiring and mentoring future engineers, and will have significant autonomy within the team.