Embedded Software Engineer, Airships to Cloud

present of AI; Paris; On-site; EUR 55,000 - 75,000; Full time

Job summary

HyLight in Paris invites an Embedded Software Engineer to develop firmware for airship flight hardware and integrate sensors with cloud services. You will write and test C/C++ firmware, work with microcontrollers and RTOS, and ensure robust software under real-time constraints.

You'll build device-to-cloud pipelines, debug hardware issues, and contribute to safe zero-emission flight operations across grids. Experience with edge computing and cloud integration is valued.

Qualifications

• Experience writing and testing firmware for embedded systems.
• Strong C/C++ programming with RTOS.
• Experience with sensors and telemetry integration.
• Experience with edge computing and cloud data pipelines.

Responsibilities

• Develop firmware for flight hardware and onboard systems.
• Test and debug firmware on real devices in flight-grade environments.
• Implement device-to-cloud data pipelines and ensure robust data transmission.
• Collaborate with hardware and cloud teams to integrate software with sensors and services.

Skills

C/C++ firmware

Microcontroller

RTOS

Sensor integration

Device to cloud pipelines

Hardware debugging

Job description

Embedded Software Engineer, Airships to Cloud

An embedded software engineer for an airship company typically writes and tests firmware that runs on flight hardware, handles sensors and communications, and connects onboard systems to cloud services. A strong candidate brings solid C or C++ skills, comfort with microcontrollers and real time constraints, and care with testing and debugging on real devices. Interest in aviation or energy inspection work helps, since the software supports zero emission flights over critical grids.

How it fits the AI era

AI tools speed up code drafting, review and test generation, so more time goes to system design and checking behavior on hardware. The human parts stay central: safety judgment, debugging odd sensor behavior, and deciding what the airship should do when links fail. This role sits where onboard code meets cloud data, a place where AI assisted analysis of flight data is growing.

How it builds AI experience

The role offers hands on practice with data pipelines from airship sensors to cloud, a good base for learning anomaly detection and predictive maintenance. Building small projects that stream device data and flag odd readings would show relevant skill. Familiarity with edge computing and model deployment on constrained hardware is worth developing.

Worth showing

• C and C++ firmware
• Microcontroller and RTOS work
• Sensor and telemetry integration
• Device to cloud pipelines
• Hardware debugging and testing

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.