Radar Engineer to Autonomy/AI [D]

Our take

Transitioning from a role in radar perception analysis to applied machine learning and autonomy can feel daunting, especially when you worry about the value of your experience. Your background in analyzing point clouds and SNR distributions demonstrates a solid understanding of complex data, which is crucial in this field. Building a portfolio of ML and robotics projects can effectively showcase your coding skills and practical knowledge.

Hi all, I’ve spent the last 3 years working on Radar Perception for a legacy automotive project in Germany. My background is an MSc in Robotics & AI. Currently, I spend my time analyzing point clouds and SNR distributions to debug failures. It’s mathematically complex, but I’m not implementing any models or designing systems. I feel like I'm becoming a "PowerPoint Engineer" who knows a lot about noise but isn't building the future of autonomy. I want to move into Applied ML/Autonomy, but I’m worried my 3 years of "analysis" don't count as "development experience." Does it make sense to build a portfolio of ML/Robotics projects applied to Radars to prove I can actually code, or will recruiters only care about my work? Is this a good path for applied ML or i am kidding my self?

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