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 RoleYou will build the Command Centre, the screen an operator uses to see what our robots and cameras see, decide in seconds, and task the fleet. Soldiers have already run our console unaided after a short introduction. Next, one operator watches many sites, and tasks robots in plain language instead of drawing routes. That needs an interface built for it.
This role is engineering and design in one. You will shape the flows, prototype them, test them with operators, and ship them in production code, working with our full-stack engineer on the backend and our vision engineers on what the models show.
What You'll Work OnOperator interface: live video, site maps, robot positions and alerts in one view that works at 03:00.
Alert triage: the flow from alert to decision: evidence, context, confirm or dismiss, dispatch a robot.
Tasking by instruction: an interface for telling the fleet what to do in plain language, and seeing how it plans to do it.
Design system: components and patterns that keep the product consistent as it grows.
Usability: prototype, test with operators, measure, iterate.
Performance: real-time streams and many sites without the interface slowing down.
A frontend engineer with real UI/UX craft, who has shipped data-heavy, real-time interfaces that people rely on under pressure.
Your Background3+ years of frontend engineering with TypeScript and React.
Shipped real-time, data-heavy interfaces: maps, video, dashboards or control panels.
UI/UX practice: you design flows, prototype in Figma or similar, and run user tests.
Comfortable with backend APIs and real-time transport (WebSockets, WebRTC).
Accessibility and performance as habits, not afterthoughts.
Control room, mission-critical or security interfaces.
Mapping and geospatial libraries (Mapbox, deck.gl or similar).
Building a design system from scratch.
Defence or regulated customers.
Ownership: you are able to ship products and deliver project end-to-end.
Mission: autonomous security that keeps people and critical sites safe, including in defence.
Career path: a ground-floor seat with real runway. Prove your value and you will not have barriers to grow.
Team: work directly with PhD-level co-founders in AI, Robotics, and Physics, alongside a strong (and fun) founding team.
Compensation: Competitive equity/salary package
Culture: International founding team that is serious about building but does not take itself too seriously.
Skills Required
- 3+ years of frontend engineering experience
- Professional experience with TypeScript and React
- Experience shipping real-time, data-heavy interfaces such as maps, video, dashboards, or control panels
- UI/UX experience designing flows and prototypes using Figma or similar tools
- Experience conducting user testing with operators or end users
- Comfort working with backend APIs and real-time transport technologies such as WebSockets and WebRTC
- Strong focus on accessibility and frontend performance
- Experience with control room, mission-critical, or security interfaces
- Experience with mapping or geospatial libraries such as Mapbox or deck.gl
- Experience building a design system from scratch
- Experience serving defence or regulated customers
What We Do
Laelaps AI develops an autonomous security platform that unifies robots and stationary sensors, including cameras, drones, and security robots, into a coordinated monitoring force. Its AI-driven systems support continuous surveillance, automated patrols, rapid incident response, and intelligent decision-making across commercial and defense environments. The hardware-agnostic platform is designed to reduce monitoring workloads while improving coverage, response speed, and operational reliability.
