Lead Embedded Engineer: Edge AI for Maritime Autonomy

Hexa

France

On-site

EUR 100,000 - 160,000

Full time

3 days ago
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Job summary

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.

Responsibilities

  • 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.

Skills

Embedded systems
Autonomous drones
Embedded stack
Edge AI
Autopilot ecosystems
Founding-team mindset
Prototyping and iteration

Tools

Pixhawk
ArduPilot / ArduSub / PX4

Job description

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.

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