Embedded Engineer – TinyML for Environmental Sensing Systems

Environmental Tech | Embedded AI | TinyML | IoT

Are you ready to make embedded AI work for the planet?

We're hiring on behalf of a leading environmental tech company looking for an Embedded Engineer with experience in TinyML to develop intelligent, ultra-low-power sensing devices. Based in Galway, with flexibility for hybrid or remote work, this role offers the opportunity to build real-world solutions that monitor and respond to environmental changes in real time — all while running entirely at the edge.

You’ll be joining a mission-driven engineering team creating compact, energy-efficient systems for air quality, noise, temperature, and vibration monitoring across smart city and remote infrastructure projects.

What You’ll Do:

• Design and deploy TinyML models for microcontrollers and edge AI chips

• Develop firmware in C/C++ and Python for platforms like STM32, nRF52, or similar

• Integrate environmental sensors into embedded systems with ultra-low-power requirements

• Apply model compression (quantization, pruning) for efficient on-device inference

• Collaborate across hardware, data science, and firmware teams to ensure system-level robustness

Your Background:

• Solid experience with TinyML frameworks (e.g., TFLite Micro, CMSIS-NN, Edge Impulse)

• Strong grasp of embedded systems and low-power firmware development

• Familiarity with RTOS platforms (FreeRTOS, Zephyr) and real-time data handling

• Understanding of signal acquisition from environmental sensors

• Bonus: Passion for sustainability, environmental monitoring, or smart cities