You will be part of a team involved in the product development of automated process pipelines for Digital Twin 3D content, in cooperation with digital content creators, technical artists and application developers. You will be creating key components of the pipelines and integrating with external services/platforms to process data, producing outputs to address needs for Digital Twin 3D content in enterprises, predominantly in the Defence and Public Safety & Security domain.
In particular, you will be applying A.I. on real-time data about dynamic changes/activities of movable objects and humans from the real-world environment, to solve prevailing needs in digitalisation of such information for meaningful visualisation within applications. You will create automatic processes that produce outputs on an accelerated or even real‑time basis to fulfil demands for data streams in solutions e.g. simulation systems, to meet specific customer demands.
Job Responsibilities:
- Product R&D in the following areas, involving A.I. and 3D geometry:
- Tracking of discernible movable objects and human activity, to generate corresponding simulated entities in the virtual 3D space of Digital Twins
- Processes on satellite/aerial imagery for 3D shape analysis, object type identification and direction/movement estimation
- Time-efficient processes for analysis of video streams, particularly of urban scenery, for data on specific objects, as well as aggregate objects e.g. traffic and crowds
- 6-DoF positioning and pose estimation for entities
- 3D mapping & transformation including the processing of equirectangular images
- Automated process pipelines for producing outputs usable by downstream processes according protocol specifications
- Generating data streams for interfacing with external simulation systems
- Data fusion from multiple viewpoints and/or external data sources
Job Requirements:
- Degree in Engineering, Computing, Mathematics or related field
- Entry level candidates are welcome
- Experience with Machine Learning, able to create and run A.I. workloads
- Experience in producing robust A.I. inference runtimes, with knowledge of distributed computing
- Knowledge of real-time messaging and streaming protocols
- Strong knowledge of 3D Geometry and understanding of mapping & transformation techniques
- Proficiency in technical writing
- Able to learn and adopt new industry tools and techniques, quickly and independently
Plus Point:
- Academic or professional background in Data Science
- Experience with usage of GPUs, CUDA programming and parallel computing
- Familiarity with imagery and video data including noise management
- Knowledge of virtual simulation architectures and entity component systems
- Participation in related technical forums
- Experience in usage of Cloud platforms e.g. AWS and Azure
