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описание
The research and innovation team explores Physical AI, autonomous systems, and connected drones. Its research use cases include crowd monitoring and public safety, emergency-service applications, and autonomous parcel delivery.
задачи
Design and develop software for Physical AI and autonomous-system research use cases
Build Kotlin backend services and device-side components
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 capabilities for telemetry, location, sensor, image, and video metadata
Support command-and-control interactions between applications and autonomous or remotely operated devices
Prototype use cases, taking concepts from experimentation through to 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 intermittent or constrained 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 covering architecture, APIs, experiments, and research findings
Collaborate with researchers, software engineers, network specialists, AI specialists, and external technology partners
требования
BSc/MSc in Computer Science or a related field
At least 6 years of experience as an Android Developer
Strong Kotlin development skills
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 concurrent and asynchronous programming using Kotlin Coroutines
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, Google Cloud, or another major cloud platform
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, and potential public-safety applications
