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👉🏼 You are
Collaborate with data scientists and algorithm engineers to integrate AI algorithms into wearable devices, mobile terminals, and cloud platforms.
Participate in software and hardware development for embedded systems, including sensor data collection, signal processing, and wireless communication.
Research and optimize low-power embedded system performance to enhance real-time monitoring capabilities.
Develop firmware (C/C++), test, and debug embedded systems.
Document technical work and collaborate with cross-disciplinary teams for product iteration and optimization.
👩💻 Requirements
Collaborate with data scientists and algorithm engineers to integrate AI algorithms into wearable devices, mobile terminals, and cloud platforms.
Participate in software and hardware development for embedded systems, including sensor data collection, signal processing, and wireless communication.
Research and optimize low-power embedded system performance to enhance real-time monitoring capabilities.
Develop firmware (C/C++), test, and debug embedded systems.
Document technical work and collaborate with cross-disciplinary teams for product iteration and optimization.
Currently pursuing or recently completed a degree in Electrical Engineering, Computer Engineering, Embedded Systems, or a related field.
Experience with C/C++ or Python programming.
Understanding of embedded system development processes and familiarity with MCUs (e.g., STM32, ESP32) or embedded Linux (e.g., Raspberry Pi).
Basic knowledge of hardware interfaces (I2C, SPI, UART), with experience integrating sensors preferred.
Understanding of wireless communication (e.g., BLE, Wi-Fi) and power optimization is a plus.
🏦 What do you get in return?
Potential for future full-time opportunities based on performance.
Interns receive a monthly compenstation and, for outstanding performers, the opportunity to join our employee incentive program, paving the way for long-term career growth.
