• Architect and evolve the embedded software stack (defining system boundaries, module interfaces, and communication flows) to ensure scalability, maintainability, and efficient integration with backend services. • Build and maintain edge applications on embedded Linux devices, including software for real-time video capture and processing. • Customize and extend Yocto-based Linux builds to support production hardware and future device features. • Implement and maintain software for computer vision, OCR, or other ML inference tasks at the edge. • Develop and maintain containerized environments using Docker to streamline testing, deployment, and reproducibility. • Contribute to OTA (over-the-air) update pipelines and automated testing frameworks to ensure reliable deployments across the fleet. • Integrate devices with backend systems using pub/sub messaging frameworks (ex. NATS JetStream, Kafka, Redis, or MQTT) to connect devices with backend infrastructure. • Collaborate closely with hardware engineers to optimize software for sensors, cameras, and other peripherals. • Troubleshoot and debug board and system level issues using logs, schematics, Linux tools, and protocol analysis. • Author clear documentation, best practices, and internal guides to support the team and streamline problem solving.