Google DeepMind Robotics Engineer Interview Experiences 2026

Real, anonymous reports from people who interviewed for Robotics Engineer at Google DeepMind, newest first and distilled into what to expect across the loop.

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11 months ago

Average Neutral Mountain View, CA

I went in through a referral, and the process ended up being slower than I expected—at times I waited more than a month to hear feedback after interviews. The overall difficulty wasn’t described as “wildly” hard, but the set of topics was broad and the standard still felt high.

I had several rounds that mixed Python work with more research-adjacent thinking. The coding interviews were described as surprisingly chill and not trick-leet-code heavy, but I still needed to be quick and explain my approach clearly. There was an ML fundamentals portion covering things like loss functions, classification versus regression, dimensionality reduction, regularization, CNNs, and even RL. The systems design interview was the part that really hurt me: it was very open-ended, with minimal time, and it was framed more like a software systems design brainstorm than anything I’d done before. On top of that, I had a robotics quiz spanning kinematics, filtering, control, sensors, simulation, RL/IL, and safety, which leaned heavily on my own experience.

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