Embedded System Engineer

Pelagon - Autonomous Maritime ISR

Full-time · On-site (Marseille or Paris) · Founding team · Reports to founders

The sea is the physical layer of the economy—the conduit for our energy, communications, and trade. It is also Europe’s exposed flank. Pelagon is building the answer.

Founded by Aymeric (serial deeptech entrepreneur; founded & exited Scortex, Leading AI solution for manufacturing quality) and Gauthier (Navy officer and McKinsey), Pelagon is building a foundational multimodal acoustic model for autonomous maritime protection (underwater and surface) in service of European sovereignty. It will be deployed on a distributed, autonomous network of vectors (UUVs, buoys, sailbuoys, seabed…) to provide real-time understanding of underwater threats.

France and Europe have world-class acoustic engineers and a long history in underwater warfare. By bridging this expertise with modern physical-AI strategies (as seen in autonomous driving and robotics). Europe is still missing it’s naval NeoPrime, Pelagon aims to become to lead the way in autonomous marine protection—from detection to interception—partnering with leading navies, primes, and neo-primes, while also operating its own fleet as a service.

Pelagon is backed by Hexa, the pioneer startup studio in Europe, which has launched 35+ companies, including unicorns like Front, Aircall, and Spendesk, combining €230m+ ARR and €750m raised.

The role

As Embedded System Lead Engineer, you take end-to-end technical ownership of the hardware, electronics, and embedded stack across a small family of autonomous maritime platforms, some operating on the surface, some beneath it.

What they share matters more than what sets them apart: each must persist at sea for long stretches, sense its surroundings, run our AI on-device, and report back intelligently — all while surviving a brutal environment on a very tight energy budget.

You will lead their technical development, from architecture and component selection through bring-up, integration, sea trials, and iteration. You'll set the engineering bar for the platforms team and shape how we build for years to come.

These platforms exist to carry one thing into the water: our AI. Pelagon trains high-performance detection models in-house on its own stack, and those models have to run on-device, at the edge, on a razor-thin power budget — then push results back to our operations center. Designing the compute-and-power architecture that makes this possible is the heart of the role.