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HyLight seeks a engineering intern to model airship dynamics and translate results into control and guidance software. You will validate in simulation and on actual flights, contributing to a safe and reliable autonomous airship platform.
A strong candidate has solid fundamentals in dynamics and control, can code in Python and C/C++, and is comfortable debugging hardware and sensors in the field. This role sits at the intersection of AI and flight, offering hands-on learning in data handling,
The intern helps model how the airship moves and turns that into control and guidance code, then tests it in simulation and on real flights. A strong candidate has solid fundamentals in dynamics and control, can code in Python and C or C++, and is comfortable debugging hardware and sensors in the field. Curiosity and the ability to pick up new tools quickly matter as much as prior experience.
The role sits on the flying side, where control laws and safety logic must be reliable and explainable to regulators, so the core engineering stays human. AI tools can speed up modeling, simulation runs and analysis of flight data, freeing time for design judgment and field debugging. The company's AI already turns flight data into defect findings, so the intern's work feeds a pipeline where automation handles detection and people handle the hard calls.
The intern would learn how flight and simulation data are handled at scale and how automated analysis supports engineering decisions on a real aircraft program. Building skills in Python data analysis, simulation tooling and reading sensor logs would prepare someone for this kind of work. Familiarity with drone autopilot stacks and embedded debugging adds practical value for a company flying autonomous airships.
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