Working Student – TinyML & Edge AI (m/f/d)

At SWARM Biotactics , we're creating biorobots — living, intelligent systems based on insects. Each insect carries a custom-designed backpack that enables wireless control, sensing, and secure communication.

Biorobot swarms combine the agility of biology with AI, sensors, and swarm coordination — unlocking capabilities where conventional machines fail.

We are the only company in the world doing this — and we're pushing the edge of what's possible across biology, embedded systems, AI, and swarm intelligence.

🤖The Role

Understanding and modelling the environment is a key challenge for the next generation of autonomous biorobotic systems.

By enabling our systems to perceive and interpret their surroundings, we empower both individual agents and entire swarms to make intelligent decisions in real time.

We are looking for a motivated and driven Working Student (full- or part-time) to help expand our TinyML capabilities on highly resource-constrained embedded platforms.

You will improve existing perception pipelines, migrate capabilities from other systems, and develop entirely new ones. We strongly encourage ownership and experimentation — if you have ideas for novel capabilities, you'll have the opportunity to implement and test them.

You'll work at the intersection of machine learning, embedded systems, and robotics, deploying models under memory, compute, and power constraints.

Most importantly, you'll own projects from concept to deployment and see your work running on real-world biorobotic systems.

🔬Things You Could Work On

• Design, deploy, and optimise TinyML models on microcontrollers (ARM Cortex-M, RISC-V, custom accelerators) for living insect biorobot systems
• Benchmark, evaluate, and improve TinyML pipelines
• Develop real-time sensing, perception, and control pipelines
• Port existing ML capabilities to embedded platforms
• Develop entirely new sensing and perception capabilities
• Apply optimisation techniques including quantisation, pruning, compression, and architecture optimisation
• Integrate ML models with advanced embedded systems
• Help shape the next generation of intelligent edge platforms

✅Requirements

• Hands-on experience with Embedded ML / TinyML
• Strong C/C++ and Python skills
• Experience working with microcontrollers
• Experience with CMSIS-NN, TensorFlow Lite Micro, Edge Impulse, or similar frameworks
• Solid understanding of machine learning and deep learning fundamentals
• Fluent English

⭐Nice to Have

• Experience training models in PyTorch
• Experience with signal processing, sensor fusion, or robotics
• Experience with embedded optimisation and profiling

🚀Why SWARM Biotactics

• Work on technology that genuinely does not exist anywhere else in the world
• Join a world-class team operating at the frontier of science and engineering
• Collaborate across biology, AI, robotics, and embedded systems
• Take ownership of projects with real-world impact from day one
• See your work deployed on living biorobotic platforms, not just simulations
• Help build the foundation of a new class of intelligent systems that redefine the interface between life and technology

We're well-funded, growing fast, and building a category of technology that no one else is pursuing.

If you want to work on technology that genuinely feels years ahead of the market, we'd love to hear from you.

Apply directly via LinkedIn or send your application materials (CV, academic transcripts, and links to projects if available) to: matteo.gambella@swarm-biotactics.com

We look forward to hearing from you.