Embedded Software Engineer

Firmware Engineer – TinyML & Embedded AI

TinyML | ARM Cortex-M | Edge AI | IoT Devices

Join our partner as a Firmware Engineer specializing in TinyML to develop cutting-edge edge AI applications deployed in consumer electronics, industrial IoT, and smart sensing platforms.

What You’ll Do

• Develop and optimize TinyML models running on ARM Cortex-M and other low-power MCUs
• Implement efficient firmware pipelines integrating sensor data acquisition, pre-processing, and inference
• Collaborate with data scientists and hardware engineers to deploy ML algorithms on embedded platforms
• Work on power optimization techniques to extend battery life of edge devices
• Build test and validation frameworks for ML model performance and robustness
• Contribute to continuous integration and deployment pipelines for embedded AI solutions

Core Skills

• Experience with embedded C/C++ development targeting ARM Cortex-M MCUs
• Familiarity with TinyML frameworks like TensorFlow Lite Micro, Edge Impulse, or CMSIS-NN
• Understanding of machine learning fundamentals and model optimization for constrained environments
• Experience with sensor interfacing (IMUs, microphones, cameras) and embedded signal processing
• Knowledge of real-time operating systems (FreeRTOS, Zephyr)
• Strong debugging skills using oscilloscopes, logic analyzers, and JTAG debuggers

Bonus Skills

• Experience with Python for ML model training and toolchain scripting
• Knowledge of wireless protocols (BLE, LoRa, WiFi)
• Familiarity with containerization and cloud tools for ML model lifecycle management
• Prior work on industrial IoT or consumer electronics products
• Contributions to open source TinyML projects or communities