Embedded Software Internship

present of AI; Paris; Hybrid; EUR 12,000 - 17,000; Full time

Job summary

HyLight seeks a final-year master’s student to help shape how flight software is structured, built and tested for autonomous airships. You will focus on clean hardware interfaces, PX4 and ground station integration, and pipelines that keep a small team shipping reliably.

The role involves hands-on work with autonomous flight software on real airships, contributing to the data pipeline behind AI-based defect detection, and learning how sensor data becomes actionable for operators.

Qualifications

• Final year master's student in a relevant field.
• Strong C/C++ and Python foundations.
• Embedded project experience is a plus.
• Interest in drones and aerial robotics.

Responsibilities

• Assist in shaping how flight software is structured, built and tested.
• Develop clean interfaces over hardware and ensure reliable builds and tests.
• Contribute to PX4 and ground station integration and related pipelines.

Skills

C

C++

Python

Education

Master's student (final year) in a relevant field

Tools

PX4

QGC

Job description

This internship asks for a final year master's student who can help shape how flight software is structured, built and tested. The work centers on clean interfaces over hardware, PX4 and ground station integration, and pipelines that keep a small team shipping reliably. A strong candidate brings solid C and C++ and Python foundations, some embedded project experience, and a genuine pull toward drones and aerial robotics.

How it fits the AI era

The airship flies itself and its sensors feed an AI that turns LiDAR, imagery and methane data into defects and leak locations for operators. The embedded work stays human: deciding how onboard and ground software fit together, making hardware behave as one machine, and keeping builds and tests trustworthy. AI speeds up parts of development, but the architecture and reliability judgment remain with the engineer.

How it builds AI experience

The role offers hands on work with autonomous flight software on real airships, plus exposure to the data pipeline behind automated defect detection. Building that experience means contributing to PX4 and QGC integration, writing tests and pipelines, and learning how sensor data from inspection flights becomes something operators act on.

Worth showing

• C and C++
• Python scripting
• PX4 or drone projects
• Embedded debugging tools

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About HyLight

Autonomous, hydrogen-powered airships for zero-emission aerial inspection of critical energy and transport grids.