Mechanical Engineer - Full Time Position

present of AI; Paris; Hybrid; EUR 45,000 - 60,000; Full time

Job summary

HyLight is seeking a Mechanical Engineer to own the full lifecycle of airship mechanical systems, from early design through testing and field support. The role emphasizes hands-on design of rugged outdoor equipment, test planning, and root-cause analysis.

You will bridge CAD work and workshop realities while exploring how AI-driven data informs hardware reliability and design iteration. Python data work is a plus.

Qualifications

• Hands-on experience designing rugged outdoor equipment
• Plan and run tests and trace failures to root cause
• Bridge CAD work and workshop realities

Responsibilities

• Own the full lifecycle of airship mechanical systems from design to testing and field support.
• Develop rugged mechanical solutions aligned with hardware validation needs.
• Coordinate CAD/DFM workflows with hands-on testing and field feedback

Skills

Root cause analysis

Test planning

Rugged design

Tools

CAD

DFM

Python

Job description

Mechanical Engineer - Full Time Position

The role asks for a mechanical engineer who can own the full lifecycle of an airship's mechanical systems, from early design through testing and field support. A strong candidate brings hands-on experience designing rugged outdoor equipment, planning and running tests, and tracing failures back to their root cause. The job values people who move easily between CAD work and workshop reality.

How it fits the AI era

AI is what turns the airship's sensor data into actionable defect reports, so the mechanical engineer's job is to keep the physical platform reliable enough to feed that pipeline. Design and test work still depend on human judgment about materials, fatigue, and field conditions. The role stays grounded in physical validation, not simulation alone.

How it builds AI experience

The engineer would gain exposure to how AI driven inspection data loops back into hardware design, since field failures inform both mechanical fixes and the defect detection models. Building skills in statistical reliability analysis and Python based data work would connect directly to the company's data centric inspection service. Understanding how sensor payloads and airframe design affect data quality is a practical way to grow.

Worth showing

• Rugged mechanical design
• Test planning and fixtures
• Root cause analysis
• CAD and DFM
• Python reliability data

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.