TinyML Engineer | Deep-Tech R&D | Germany (On-Site)

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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.

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
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 using “TinyML Engineer | Deep-Tech R&D | Germany (On-Site)” as your subject line.