Senior Front End Developer (Contract-to-Hire)

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).