TinyML Engineer | Deep-Tech R&D | Germany (On-Site)
AI Futures are the exclusive Search Partner for a pioneering deep-tech organisation building next-generation embedded intelligence systems. We are searching for a world-class TinyML Engineer to join their core engineering team.
Opportunity
* A rare chance to join a rapidly scaling company operating at the frontier of embedded AI
* Work on ultra-low-power ML systems in an environment defined by innovation, experimentation, and technical ambition
* Be part of a multidisciplinary team combining embedded engineering, and advanced sensing
* Shape the next generation of intelligent edge devices designed for real-time environmental awareness and control
* High-impact role in a fast-growth organisation with significant freedom, autonomy, and learning opportunity
Role
* This role is responsible for the development and deployment of highly optimised ML models on constrained embedded hardware, including:
* Designing and implementing TinyML models for microcontrollers (ARM Cortex-M, RISC-V, custom accelerators)
* Building real-time inference pipelines for sensor processing and situational awareness
* Applying quantisation, pruning, and compression to meet strict memory and power targets
* Translating research insights into deployable embedded ML solutions
* Conducting hardware–software co-design to maximise system performance
* Developing automated training, conversion, and deployment workflows
Experience
* 3+ years of experience in embedded systems (C/C++, Python)
* Expertise in TinyML frameworks (TensorFlow Lite Micro, CMSIS-NN, uTensor, Edge Impulse)
* Strong ML fundamentals and experience with model optimisation (INT8/INT4 quantisation, pruning)
* Background with microcontrollers such as STM32, ESP32, or Nordic platforms
* Experience with embedded RTOS (FreeRTOS, Zephyr, Mbed OS)
* Comfortable in fast-moving, uncertain R&D environments
* Fluent English
* Willing to relocate and work on-site in central Germany
* Eligible based on specific international hiring/security constraints
* Ideally coming from high-growth tech or startup environments
We are particularly interested in engineers who combine low-level embedded expertise with strong ML intuition, and who thrive in highly experimental deep-tech environments.
Please feel free to apply via this Job or send your CV to will.childs@aifutures.group using "TinyML Engineer | Deep-Tech R&D | Germany (On-Site)" as your subject line.