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HyLight is seeking a Payload Operator & Embedded Data Analyst intern to support full payload workflow for airship inspection missions. You will operate sensors in real-time from a control room, verify data quality, and help draft client reports.
The role suits an engineering or CS student who stays calm under live operations and is comfortable with Python or C/C++. French and English are used in daily work.
This internship covers the full payload workflow on airship inspection missions: preparing settings, operating sensors live from a control room, checking the data, and writing client reports. A strong candidate is an engineering or computer science student who is calm and reliable during live operations and comfortable with Python or C/C++. Some hands-on electronics and embedded experience helps, along with working French and English.
How it fits the AI era
The company's software already finds many kinds of defects and pinpoints gas leaks automatically, so the work leans toward checking what the AI produces and making sure the data going in is good. Capturing clean LiDAR, imagery and methane readings, and judging whether a flagged defect is real, still takes careful human attention. Talking with clients about what the findings mean also stays a human job.
How it builds AI experience
An intern would see how an AI inspection system works from the sensor to the client report, including what makes data good or bad for detection. Building experience here could mean writing small Python scripts to check data completeness or automate parts of reporting. It is also useful to learn how point clouds and imagery are labeled and reviewed.
Worth showing
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.