The Indoor Lab is at the forefront of spatial intelligence and advanced mapping technologies. We develop cutting-edge solutions that leverage LiDAR data to power real-time decision-making in industries like autonomous navigation, smart infrastructure, geospatial analytics, and environmental monitoring. We're looking for a highly skilled Front-End Engineer to join our team and help turn complex telemetry data into intuitive, high-performance user experiences.
Location
Remote. Ideally prepared to move to Tampa, Florida if interested in long term work.
Responsibilities
• Design and implement high-performance, modular Angular components for processing and visualizing LiDAR telemetry data in real time.
• Collaborate with back-end engineers, data scientists, and product managers to integrate complex data models and APIs.
• Develop custom UI tools and dashboards for geospatial visualization (e.g., 3D point cloud renderers, heatmaps, object tracking).
• Optimize rendering performance for large-scale data sets (millions of points) using WebGL, Three.js, or similar technologies.
• Write reusable, testable, and maintainable code adhering to modern Angular standards and enterprise-level architecture.
• Debug and troubleshoot performance bottlenecks, latency issues, and rendering errors in data-rich environments.
• Mentor junior developers and contribute to architectural decisions and code reviews.
Qualifications
• 5+ years of professional front-end development experience, with 3+ years using Angular (v18+ preferred).
• Strong understanding of RxJS, NgRx (or other state management libraries), and advanced Angular patterns.
• Cloud and Data Integration: Experience integrating with Cloud Platforms (GCP, AWS, Azure).
• Demonstrated experience building interactive applications that visualize large or real-time data sets (especially LiDAR or geospatial data).
• Proficiency in TypeScript, HTML5, SCSS, and RESTful API integration.
• Experience with 3D rendering technologies such as WebGL, Three.js, or Deck.gl.
• Familiarity with LiDAR data formats and telemetry protocols.
• Deep understanding of browser performance optimization techniques for rendering high-frequency or high-volume data.
• Experience with automated testing frameworks (e.g., Jasmine, Karma, Cypress).
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