EchoTwin AI
EchoTwin transforms municipal fleet vehicles into autonomous sensing networks that power the Physical AI Operating System for Real-Time Urban Intelligence. By combining proprietary AI, continuous sensing, and contextual reasoning, EchoTwin transforms real-world observations into actionable intelligence and autonomous workflows, enabling governments to understand, predict, and optimize the built environment at city scale. Our mission is to build the world's first urban world model—a continuously updated digital representation of every road, asset, and piece of infrastructure that powers the next generation of city operations.
Open Positions at EchoTwin AI
3 open positions
Build and optimize vision-language models that combine visual and textual data for multimodal AI applications at the edge. You will take models from experimentation and dataset preparation through production integration for intelligent urban infrastructure systems.
Deploy and optimize high-performance computer vision systems on NVIDIA Jetson platforms for real-world infrastructure intelligence applications. This hands-on role combines embedded software, AI algorithms, hardware integration, and edge-device optimization.
Lead cybersecurity strategy and incident response across cloud infrastructure, corporate systems, applications, and Linux-based edge devices. This hands-on role combines application security, cloud security, PKI, vulnerability management, and technical collaboration with customers and engineering teams.