Job Overview In this role, you will work across the full stack to create intuitive, high-performance interfaces for real-time remote control of heavy equipment. You will contribute to frontend visualization as well as backend architecture to ensure low-latency, secure communications. Daily tasks include prototyping data-rich visualizations, building pipelines for complex sensor data (e.g., LiDAR, geospatial, 3D), and optimizing user interactions. You’ll also help manage production environments, deploy applications, and apply best practices in networking, security, and deployment.

Responsibilities - Design and build intuitive, high-performance user interfaces for tasking, supervising, and remotely controlling autonomous robots and workflows - Develop real-time visualizations for complex sensor data, including LiDAR, 3D models, and geospatial information, with a focus on rapid prototyping and user feedback - Apply best practices in networking, authentication, and security to ensure low-latency, reliable communication between systems - Architect and maintain scalable, secure backend systems, ensuring efficient deployment and operation in production environments (e.g., Docker, Kubernetes) - Iterate quickly, collaborate cross-functionally, and optimize the

Job Overview In this role, you will work across the full stack to create intuitive, high-performance interfaces for real-time remote control of heavy equipment. You will contribute to frontend visualization as well as backend architecture to ensure low-latency, secure communications. Daily tasks include prototyping data-rich visualizations, building pipelines for complex sensor data (e.g., LiDAR, geospatial, 3D), and optimizing user interactions. You’ll also help manage production environments, deploy applications, and apply best practices in networking, security, and deployment.

Responsibilities - Design and build intuitive, high-performance user interfaces for tasking, supervising, and remotely controlling autonomous robots and workflows - Develop real-time visualizations for complex sensor data, including LiDAR, 3D models, and geospatial information, with a focus on rapid prototyping and user feedback - Apply best practices in networking, authentication, and security to ensure low-latency, reliable communication between systems - Architect and maintain scalable, secure backend systems, ensuring efficient deployment and operation in production environments (e.g., Docker, Kubernetes) - Iterate quickly, collaborate cross-functionally, and optimize the