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Research Engineer, Robotics, DeepMind

Google
Cambridge, USA
Mid · 5+ years experience
Onsite
USD 147000-210000 / year
Discovered 4 days ago

Full Job Posting

Responsibilities

  • Integrate robot control software and hardware interfaces with our common robotics SDK across simulated and physical platforms, end effectors, and wearable devices.
  • Build, validate, and maintain physics simulation environments and software-in-the-loop harnesses that accurately model the on-robot software stack, control loops, and hardware interfaces.
  • Run and maintain the on-robot execution harness to call local and remote machine learning action models in real time.
  • Connect platforms to the teleoperation and data logging stack to capture synchronized sensor streams, robot actions, and demonstrations for model training.
  • Develop platforms with fleet orchestration and evaluation tools to run standardized benchmarks and guide data collection.

Minimum qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, Robotics, or equivalent practical experience.
  • 3 years of experience developing, integrating, and debugging software for simulated and physical robotic systems.
  • Experience with physics simulation environments (such as MuJoCo, NVIDIA Isaac Sim, or Gazebo) for modeling robots, testing software stacks, or validating sim-to-real transfer.
  • Experience integrating sensor streams (cameras, IMUs, encoders, or tactile sensors), actuator interfaces, and real-time control loops into a robotics software stack.

Preferred qualifications:

  • 5 years of experience building core components of a robotics software stack, SDK, or hardware abstraction layer.
  • Experience developing, deploying, or running machine learning policies (such as Vision-Language-Action models or reinforcement learning controllers) on physical robots.
  • Experience with system identification, actuator and sensor modeling, or closing the sim-to-real gap for manipulation or locomotion.
  • Experience with teleoperation systems, motion tracking hardware, wearable data collection devices, or multi-fingered dexterous hands.
  • Experience designing automated calibration verification, system health monitoring, or hardware-in-the-loop (HIL) test pipelines.

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