Tasks:
- * Analyze latency and resource utilization
- * Deploy and optimize edge AI models
- * Design multisensor synchronization and data acquisition
- * Develop and debug peripheral drivers
- * Develop embedded Linux software
- * Develop production testing and automation tools
- * Develop Qt device interfaces
- * Integrate cameras, displays, and sensors
- * Integrate hardware and software
- * Port BSPs and optimize system performance
- * Review code and improve development processes
- * Troubleshoot system issues
- * Write technical and design documentation
Perks/Benefits:
Skills/Tech stack required:
[ARM SoC] [BSP] [C#] [C++] [Camera ISP] [CAN] [CMake] [Device Drivers] [Device tree] [DMA] [Embedded Linux] [Ethernet] [Git] [Hardware timestamping] [I2C] [Image Processing] [Linux device drivers] [Linux Kernel] [Media Framework] [MIPI CSI] [MIPI DSI] [Object Detection] [ONNX Runtime] [PCIe] [Ptp] [QML] [Qt] [RK3576] [RK3588] [RKNN] [SLAM] [SPI] [TensorFlow Lite] [TensorRT] [UART] [USB] [V4L2]
Educational requirements:
[Bachelor's Degree]
Role(s):
[Embedded Software Engineer] [Engineer] [Software Engineer]