Within the scope of this project, the objective is to execute multiple artificial intelligence models with distinct architectures in an optimized manner on edge computing devices. Prospective candidates will undertake critical responsibilities including capturing real-time imagery from device-connected camera modules, managing video streaming and recording operations directly on the device, running artificial intelligence models in real-time and integrating all these operations to run seamlessly within a single process with high efficiency.

The primary goal of the project is to ensure that this software is successfully deployed and executed on edge devices in complete alignment with the operational requirements of Baykar aircrafts.

Criteria and Expectations

• A strong interest in Computer Vision and Deep Learning algorithms.
• Openness to continuous self-development in artificial intelligence model optimization and deployment on edge computing hardware.
• Familiarity with Linux (e.g., Ubuntu) operating systems and GPU-accelerated development environments.
• The capability to architect real-time image processing, data streaming (broadcast/recording), and camera integration workflows within the framework of hardware-software integration.
• A strong software architecture vision capable of optimizing and executing multiple distinct operations concurrently within a single software.

Relevant Academic Departments

• Computer Engineering
• Artificial Intelligence Engineering / Artificial Intelligence and Data Engineering
• Software Engineering
• Electrical and Electronics Engineering