Full stack programmer in Rcam

Education:

Education: Master's degree in electrical engineering, computer engineering, computer science or related field.

Knowledge of languages: English B1 and above< Br style="font-weight: 400; font-style: normal"/>Commercial experience: From 2 years

Payment: 180,000 UAH, Full amount under the general contract for 6 months, 1 million UAH

Requirements:

1. Experience in working with Nvidia Jetson for Computer Vision, managing the process of data collection and marking in CVAT systems, developing artificial intelligence algorithms intelligence and training of convolutional neural networks using Wandb.
2. Architecture development experience for commercial IoT products using RTOS and multi-threading.
3. Programming experience microprocessors/microcontrollers Raspberry Pi, ESP32, ESP8266 from 3 years old.
4. Proficiency in programming languages ​​C and C++, scripting languages ​​Python, Bash.
5. Knowledge of Embedded coding techniques, interfaces (SPI , I2C, UART) and subsystems.
6. Experience with Linux-based operating systems, understanding of operating systems: programming experience in Embedded Linux or similar embedded operating systems systems.
7. Experience in debugging complex Embedded systems, knowledge of the basics of electronics and the ability and willingness to solder.

Working conditions: subcontract with FOP< /p>

Responsibilities:

Create the functionality of the "Rcam Spider" device according to the following points:

1. Management of product development for tactical surveillance of the battlefield, propose an architectural solution, set tasks and monitor the work of a subordinate embedded developer.

2. Development, training, debugging of AI object recognition algorithm by thermal imager in 7th grades. Additional training on synthesized and field data. Get the result mAP.5 = 0.7 in at least one class.

3. Development of a data transmission system from Nvidia Jetson Orin Nano to a tablet at a distance of 1 km using Himera components. Passing tests on the actual transfer, testing the transfer of various amounts of data such as coordinates, object class.

4. Consolidation of video data from five cameras with lenses with an angle of 18-30 degrees into a single field of observation. Image processing by the algorithm according to item 1 simultaneously from all 5 cameras. Demonstrate target tracking with coordinate tracking thanks to AI.

5. Recalculation of the position of the target to a single image of the entire observation field. Finalization of the appropriate interface.

6. Display in the GIS system based on the leaflet of moving targets. Integration with combat vision operational awareness systems.

Knowledge and skills:

C and C++, Python, Bash, Computer Vision, Yolo, OpenCV, PyQT5< br/> 
 The offer is valid until 15/12/2024

About the company Rcam

The company develops a video surveillance system for the battlefield, which determines the coordinates of targets by recognizing their types.