Lead Embedded Engineer: Edge AI for Maritime Autonomy

Hexa; France; Sur place; EUR 100 000 - 160 000; Plein temps

Résumé du poste

Pelagon is seeking an Embedded System Lead Engineer to own the hardware, electronics, and embedded stack across a family of autonomous maritime platforms. You will define the architecture, select components, and drive bring-up through sea trials, ensuring reliability in harsh sea environments and extreme energy budgets.

You will lead the platforms engineering bar and coordinate with rivals to push data collection and on-device AI performance.

Qualifications

• 5+ years building real, shipping hardware for embedded systems.
• Direct experience building drones or autonomous systems.
• Deep, hands-on command of the full embedded stack: electronics design, power, motor control, sensors, embedded Linux, firmware.
• Comfort with autopilot / flight-controller ecosystems (Pixhawk, ArduPilot / ArduSub / PX4).
• Experience deploying AI/ML models at the edge—embedded inference, accelerators, quantization and power tradeoffs.
• Bias toward action: prototype, test, break, and iterate under tight deadlines.

Responsabilités

• Own end-to-end hardware and embedded stack across maritime platforms from architecture to bring-up and sea trials.
• Lead engineering standards for platforms team and shape long-term build approach.
• Select and integrate edge AI compute platforms and optimize inference per milliwatt.
• Oversee electronics design, power systems, motor control, sensors and interfaces for acoustic, pressure, IMU, GNSS, AIS.
• Manage bring-up, sea trials, and integration with data collection for model training.

Connaissances

Embedded systems

Autonomous drones

Embedded stack

Edge AI

Autopilot ecosystems

Founding-team mindset

Prototyping and iteration

Outils

Pixhawk

ArduPilot / ArduSub / PX4

Description du poste

Pelagon is seeking an Embedded System Lead Engineer to own the hardware, electronics, and embedded stack across a family of autonomous maritime platforms. You will define the architecture, select components, and drive bring-up through sea trials, ensuring reliability in harsh sea environments and extreme energy budgets.

You will lead the platforms engineering bar and coordinate with rivals to push data collection and on-device AI performance.