Neural AI

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R&D Aerospace Engineer

Aerospace Mid to Senior, research and productization 4-7 years
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The job description

Tech stack. MATLAB/Python, rapid prototyping, wind tunnel and lab test rigs, CFD/FEA, DOE software, patent databases, technology readiness frameworks

About the role

You will join the advanced concepts team of an aerospace company exploring the vehicles and technologies that fly in 10 to 20 years: novel configurations, propulsion breakthroughs, and autonomous systems. The team owns the innovation pipeline from whiteboard through flying demonstrators. This role matters because aerospace leadership is won in R&D hangars a decade before it shows up in product lines, and your disciplined experimentation separates the configurations that will fly from the ones that only look good in renderings. You will balance the freedom to explore with the discipline to decide, because research without decisions is expensive curiosity. Your experimental designs will ruthlessly identify the critical unknowns first, testing the riskiest assumptions before investing in refinement. You will document everything, including the failures, because in R&D the negative result that kills a bad concept early is as valuable as the positive one. You will develop the skill of technical storytelling: translating complex results into clear recommendations that executives and program managers can act on, with uncertainty quantified honestly rather than hidden.

What you will achieve

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