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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Research Engineer, Robotics, DeepMind - **Company:** Google LLC - **Location:** Cambridge, MA, United States - **Experience:** Experienced - **Salary:** $147,000.0 - $210,000.0 - **Contract:** Permanent contract - **Skills:** Testing (Software), Abstraction Layers, Bioinformatics, Computer Engineering, Software Debugging, Hardware Interface Design, Hardware-In-The-Loop Simulation, Machine Learning, Motion Capture, Robotic Automation Software, Systems Integration, Reinforcement Learning, Data Logging, Robot Operating System, Control Structures, Isaac Sim, Information Technology, DeepMind - **Published:** October 21, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3472072970&tx=HT7064TYZ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 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., * 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. ## Description * 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. 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