Lead Embedded Systems Engineer – Edge AI for Autonomy

Pelagon; Paris; Sur place; EUR 90 000 - 125 000; Plein temps

Résumé du poste

Pelagon seeks an Embedded System Lead Engineer to own end-to-end hardware, electronics, and embedded stack for autonomous maritime platforms. You will enable on-device AI, high reliability, and operation across surface and submerged units with harsh energy budgets.

You will design the edge compute platform, manage power, sensors, and firmware, and lead bring-up and sea trials with a bias toward rapid, robust delivery.

Qualifications

• 5+ years building real, shipping hardware for embedded systems.
• Direct experience with drones or autonomous systems.
• Hands-on command of electronics, power, sensors, and firmware.
• Experience with autopilot ecosystems (Pixhawk, ArduPilot, PX4).
• Experience deploying AI/ML at the edge with on-device inference.

Responsabilités

• Own common system architecture across platforms: power, sensing, compute, comms.
• Lead edge-AI compute platform selection and integration for on-device inference.
• Oversee electronics design, power distribution, battery systems, and sensors.
• Manage embedded software and autopilot stack, firmware, and low-level glue.
• Ensure robustness, watertight integration, and fail-safe operation at sea.
• Perform hands-on bring-up and sea trials on docks and vessels.
• Guide vendor decisions and scale test/manufacturing practices.

Connaissances

Embedded systems

Autonomous systems

Electronics design

Power systems

Sensor integration

Embedded Linux

Firmware

Real-time control

Pixhawk

ArduPilot

PX4

Edge AI

Outils

Pixhawk

ArduPilot

PX4

Edge accelerators

Description du poste

Pelagon seeks an Embedded System Lead Engineer to own end-to-end hardware, electronics, and embedded stack for autonomous maritime platforms. You will enable on-device AI, high reliability, and operation across surface and submerged units with harsh energy budgets.

You will design the edge compute platform, manage power, sensors, and firmware, and lead bring-up and sea trials with a bias toward rapid, robust delivery.