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      Robotics Research Engineer Interview

      Oct 22, 2025
      Anonymous interview candidate
      Mountain View, CA
      No offer
      Neutral experience
      Average interview

      Application

      I interviewed at Google DeepMind (Mountain View, CA)

      Interview

      Got in with a referral. Process was very slow, often spent > 1 month waiting for feedback after interviews. None of the questions were crazy hard, but quite a broad set of topics, and the standard is high. Programming questions were surprisingly chill. I didn't do a great job on the systems design interview and this is what led to my rejection. It's a very open ended question with very minimal time, in the style of a software system design interview which I hadn't done before. Robotics quiz - asked questions about a variety of topics in robotics, with a focus on my experience - kinematics, filtering, control, sensors, simulation, RL, IL, safety 1-2 coding interviews - pretty straightforward question in Python, e.g. implementing syncing to a mock database. No tricky leetcode questions, just make sure you're quick, think through things first and explain your approach. 1 ML interview/quiz - questions about ML fundamentals - loss functions, classification vs regression, dimensionality reduction, regularisation, CNNs, RL, model training 1 systems design interview - a brainstorm about designing a teleoperation system for a mobile manipulator system, with a few questions diving deeper into specific parts, considering tradeoffs.

      Interview questions [1]

      Question 1

      How would you design a teleoperation system for a quadruped with 4-axis arm, with 3 cameras (body, wrist, and pole-mounted)? Follow-up: if you can only choose one camera, which would it be?
      Answer question
      1

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