Senior Embedded System Engineer

As a Firmware Engineer specializing in TinyML, you will be responsible for developing intelligent low-power devices that operate efficiently without the need for internet connectivity. Your primary focus will be on bringing machine learning capabilities to the edge by deploying TinyML models on microcontrollers and ultra-efficient hardware. You will have the opportunity to work on cutting-edge products that integrate embedded systems, AI, and sensor fusion to create smart, secure, and responsive edge devices for various industries such as health tech, industrial IoT, and consumer electronics. Your responsibilities will include developing, optimizing, and deploying TinyML models, writing clean and efficient embedded C/C++ firmware for microcontrollers like ARM Cortex-M, integrating real-time sensor data for low-latency inference pipelines, collaborating with data scientists to compress and port models, and ensuring performance, memory, and energy efficiency. Additionally, you will conduct testing and debugging on physical devices to ensure the reliability and functionality of the firmware. To excel in this role, you should have a strong background in embedded systems and C/C++, hands-on experience with TinyML frameworks such as TFLite Micro and Edge Impulse, familiarity with ARM Cortex-M microcontrollers or similar hardware, understanding of ML model optimization techniques like quantization and pruning, proficiency in sensor interfacing, low-level drivers, and debugging tools. Experience with audio or motion recognition and low-power hardware design would be considered a bonus. If you are passionate about pushing the boundaries of intelligent edge devices and have the skills and experience required to thrive in a dynamic and innovative environment, we encourage you to apply for this exciting opportunity as a Firmware Engineer specializing in TinyML systems.,