Mechanical Integration and Test Engineer - Full Time Position

present of AI; Paris; Hybrid; EUR 42,000 - 65,000; Full time

Job summary

HyLight is seeking a Mechanical Integration and Test Engineer to own the mechanical development of an autonomous airship, from early design through testing and post-field fixes. The ideal candidate has about three years designing rugged outdoor hardware and understands fatigue, vibration and material ageing.

Fluent in French and English, you will plan tests, build fixtures, analyse results and write concise reports.

Qualifications

• Three years designing rugged outdoor hardware.
• Understanding fatigue, vibration and material ageing.
• Plan tests, build fixtures, analyse results and write reports.

Responsibilities

• Cover the mechanical side of an autonomous airship from design through testing and fixes after field failures.
• Plan tests, build fixtures and analyse results.
• Fix issues after field failures and document root causes.
• Work in the workshop and on the airfield; ensure aircraft reliability for data collection.

Skills

Fatigue testing

Vibration testing

Test planning

Fixture design

Root cause analysis

Python reliability analysis

CAD

Tools

Python

Job description

Mechanical Integration and Test Engineer - Full Time Position

The role covers the mechanical side of an autonomous airship from early design through testing and fixes after field failures. A strong candidate has around three years designing rugged outdoor hardware and understands fatigue, vibration and material ageing. They can plan tests, build fixtures, analyse results and write them up. They are also happy to work in the workshop and on the airfield, and are fluent in both French and English.

How it fits the AI era

The company's AI works on the data the airship collects, while this role keeps the aircraft itself dependable enough to gather it. AI tools can help with design exploration, Python analysis and spotting patterns in test results. Deciding why a part failed, judging whether a design is ready to fly and standing at the airfield during tests remain human work.

How it builds AI experience

The airships feed LiDAR, imagery and methane data into AI that flags defects and leaks, so this job shows how hardware quality affects the data that AI depends on. To build relevant experience, practise Python for reliability statistics and look for patterns in test and flight records. Being able to link a mechanical weakness to its effect on data quality would set a candidate apart.

Worth showing

• Fatigue and vibration testing
• Test planning and fixture design
• CAD and design for assembly
• Root cause analysis examples
• Python reliability analysis

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.