Satellite and drone imagery access is on the rise, and traditional image processing methods are struggling to keep up. We've never had more data, and yet it's never been harder to gain meaningful insights.
Our scalable AI platform enables custom model training on global features, providing real-time, on-demand geospatial insights with impressive speed and accuracy. The application turns months of manual work into mere minutes, and with much better results. We work with customers from various domains, from intelligence and defense, local and federal governments, to small and large enterprise enterprises, which requires us to have a lot of flexibility on how we deploy and maintain our services.
We kicked off in 2020 and have secured $35 million in Series A funding from a lineup of top US and European investors, among which Microsoft M12, Point72 Ventures, Maxar, In-Q-Tel, SAFRAN, and ISAI/Capgemini.
We're searching for a Software Engineer to join our Control Plane team, where you'll build the user-facing application that puts powerful geospatial AI capabilities into the hands of analysts and operators. You'll own the interface through which users train custom detection models, run inference on satellite and aerial imagery, visualize results on interactive maps, and manage complex workflows for defense, intelligence, and enterprise customers.
Your Mission
Build and evolve our frontend application that serves as the primary interface for AI model training, inference execution, and results exploration.
Develop rich, interactive map-based visualizations for displaying detection results, segmentation masks, and training data coverage across large geographic areas.
Design intuitive workflows for complex geospatial operations: imagery upload and management, model configuration, inference parameterization, and results export.
Build performant UI components for browsing and interacting with large-scale imagery handling pan, zoom, and overlay rendering for high-resolution satellite and aerial data.
Work closely with backend engineers to integrate with our FastAPI services, designing responsive interfaces that communicate pipeline status, processing progress, and async job results in real time.
Contribute to our public API developer experience, building documentation portals and interactive tooling for external integrators.
Ensure the application works reliably across a variety of deployment contexts. We run our platform as SaaS, single-tenant cloud, on-premise, and on edge laptops in the field.
Your Profile
Strong practical experience with Vue.js and building complex, stateful single-page applications.
Solid software engineering fundamentals: HTML, CSS, TypeScript, component/integration testing, CI/CD, performance profiling, accessibility.
Experience with rendering geospatial data in the browser, working with mapping libraries (OpenLayers, Leaflet, deck.gl, ...) and understanding tile-based rendering.
Solid command of modern CSS and responsive layout for building information-dense, professional interfaces.
Experience consuming RESTful APIs and managing asynchronous state.
Strong sense for UX in technical products: you can translate complex workflows into clear, efficient interfaces without sacrificing power.
Strong sense for user interaction design related to web maps for geospatial applications.
Familiarity with geospatial concepts: geospatial math, coordinate reference systems, raster vs. vector data, GeoJSON, mapbox vector tiles, ...
Familiarity with git.
You're outcome-oriented and take pride in shipping interfaces that users genuinely enjoy working with.
Bonus Skills:
Experience with WebGL, Canvas, or GPU-accelerated rendering for large image or map data.
Experience building applications for regulated or security-sensitive environments.
Background working on data-heavy dashboards, monitoring tools, or analyst workbenches.
Experience with Test-Driven Development.
Experience with 3D assets (meshes, textures, materials, shaders, ...) for web applications or 3D engines like Unity or Unreal Engine
Tech Stack
Node.js, Vue.js, TypeScript
OpenLayers
Cypress
REST APIs
Docker, Kubernetes (for local dev and deployment awareness)
Why join us
Own the user experience: You're building the interface through which every detection, every model, and every insight reaches the user.
Geospatial visualization at scale: Render detection results spanning continents, overlaid imagery from commercial satellites to tactical drones.
Diverse deployment challenges: Ship a single application that runs in AWS, on classified networks, or on a laptop in the field.
Strong technical culture: Work alongside ML engineers, GIS specialists, and 3D graphics engineers solving novel problems.
Competitive compensation with flexible working arrangements and personalized benefits including learning opportunities, mental wellbeing programs, and healthcare.
The minimum salary is 56.000,--€ gross per year. The effective salary depends on qualification and experience and may be significantly higher!
