About the Team
The research and innovation team explores Physical AI, autonomous systems, and connected drones. Its work connects autonomous or remotely operated physical devices with cloud, edge, and enterprise platforms, with initial use cases in crowd monitoring, public safety, emergency services, and autonomous parcel delivery.
Responsibilities
•Design and develop software for Physical AI and autonomous-system research use cases
•Build backend services and device-side components using Kotlin
•Develop and integrate Android applications and services for connected devices, drones, and edge-computing platforms
•Design and implement RESTful APIs, WebSockets, and event-driven interfaces between devices, edge platforms, and cloud services
•Integrate drone platforms, SDKs, telemetry services, sensors, cameras, and other physical devices
•Develop real-time ingestion and processing of telemetry, location, sensor, image, and video metadata
•Support command-and-control interactions between applications and autonomous or remotely operated devices
•Prototype use cases from initial experimentation through working demonstrators and proofs of concept
•Investigate AI/ML and computer vision services in physical and autonomous-system workflows
•Design solutions for device, edge, and cloud environments, including constrained or intermittent connectivity
•Implement authentication, authorisation, encryption, and secure communications between devices and services
•Develop automated unit, integration, and API tests, and contribute to CI/CD pipelines
•Diagnose complex problems across applications, networks, devices, and cloud infrastructure
•Produce technical documentation on architecture, APIs, experiments, and research findings
•Collaborate with researchers, software engineers, network specialists, AI specialists, and external technology partners
Requirements
•BSc/MSc in Computer Science or a related field
•At least 6 years of experience as an Android Developer
•Kotlin development experience
•Experience with Android application and service development, Android SDK, and Android lifecycle concepts
•Backend development experience using Kotlin
•Experience designing and implementing REST APIs and asynchronous or event-driven services
•Knowledge of HTTP, WebSockets, and common messaging patterns
•Experience with Kotlin Coroutines for concurrent and asynchronous programming
•Knowledge of JSON and common data serialisation approaches
•Experience integrating third-party SDKs and APIs
•Git and modern source-control practices
•Experience with automated unit and integration testing
•Knowledge of CI/CD and contemporary DevOps practices
•Experience with Docker containerisation
•Experience deploying applications or services to AWS, Azure, or Google Cloud
•Strong troubleshooting skills across distributed applications and services
•Understanding of security, privacy, safety, and responsible AI principles for solutions involving physical devices, cameras, location information, or public-safety applications
Nice to Have
Ktor, drone/UAV development, drone SDKs, flight controllers, ground-control systems, MAVLink, PX4, ArduPilot, DJI SDKs, edge computing, edge AI, computer vision, video analytics, AI/ML inference services, WebRTC, RTSP, MQTT, Kafka, event and messaging technologies, GPS/GNSS, geospatial data, mapping technologies, IoT device integration, telemetry, 4G/5G connectivity, mobile-network concepts, Linux, embedded/edge computing environments, Kubernetes, container orchestration, observability, logging, metrics, tracing, distributed monitoring, PostgreSQL, NoSQL, time-series databases, Python
Conditions
No conditions specified in the posting.
