Firmware Engineer – TinyML for Agricultural Monitoring SystemsEmbedded Systems | TinyML | Environmental & Agricultural SensorsWe’re looking for a Firmware Engineer to join our client\'s team in Cambridge, helping design and optimize TinyML–enabled embedded platforms that power next-generation environmental and precision agriculture systems. You’ll work on deploying ML models at the edge—on microcontrollers that collect, process, and respond to real-world data with minimal power and latency.What You’ll DoDevelop and optimize firmware for MCU-based devices running TinyML models in field environments.Work closely with data science and hardware teams to deploy models for crop monitoring, soil health, and weather prediction.Implement low-power sensing strategies and OTA update mechanisms.Integrate sensors (moisture, pH, gas, camera modules) and communication stacks (LoRaWAN, BLE, NB-IoT).Ensure real-time, robust performance across varied environmental conditions.You Bring3+ years of experience in embedded firmware development.Hands-on experience with TinyML frameworks (TensorFlow Lite Micro, Edge Impulse, or similar).Strong C/C++ programming and experience with STM32, Nordic, or ESP32 MCUs.Familiarity with RTOS or bare-metal embedded environments.Understanding of low-power design, ADC/DAC, and edge deployment constraints.Nice to have:Prior experience in agriculture, IoT, or environmental tech.Familiarity with OTA firmware updates and secure boot chains.Knowledge of ML pipeline optimization for embedded inference.Exposure to signal processing or time-series sensor data.
