TinyML Engineer | Deep-Tech R&D | Munich

A very exciting & unusual deep tech start-up, especially in the context of advanced robotics and AI are looking for an exceptional Tiny Machine Learning Engineer to join their office based in Munich, Germany.

Ideally they need someone with a mix of TinyML & Mobile Robotics experience. Its good if you have experience deploying ML on restricted/constrained hardware e.g. microcontrollers.

• 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

Role:

• Design, deploy & optimize TinyML models on microcontrollers (ARM Cortex-M, RISC‑V, custom accelerators) used on living insect biobot systems
• Developing real‑time sensing and control pipelines
• Applying advanced optimisation techniques (quantisation, pruning, compression)
• Integrating ML models with advanced embedded systems
• Shaping the company’s next generation of intelligent edge platforms

Skills:

• Embedded ML / TinyML experience
• Strong background in C/C++, Python, & microcontroller platforms
• Experience with CMSIS‑NN, Tensorflow lite, Edge Impulse
• Background with microcontrollers such as STM32, ESP32, or Nordic platforms
• Strong understanding of machine learning and deep learning architectures

This is a very unique opportunity as you will have the chance to build an entirely new category of robotics.

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.