Robotics Research Engineer: Sim-to-Real & ML for Real Robots

Google LLC; Cambridge (MA); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google DeepMind in Cambridge, MA is seeking a Share Research Engineer in Robotics to bridge physics simulation and real hardware. You will build unified interfaces across simulators and robots, enable teleoperation, and contribute to scalable experiments.

The role requires a BS in CS/CE/Robotics, 3 years applying robotics software, and experience with MuJoCo, Gazebo, or similar, plus sensor and real-time control integration. Join a team advancing AI for robotics.

Qualifications

• Bachelor's degree in CS/CE/Robotics or equivalent practical experience.
• 3 years of experience developing, integrating, and debugging software for robotic systems.

Responsibilities

• Integrate robot control software and hardware interfaces across simulated and physical platforms.
• Build, validate, and maintain physics simulation environments and SIL harnesses.
• Run and maintain on-robot execution harness for ML action models in real time.
• Connect platforms to teleoperation and data logging stacks for synchronized sensor streams.
• Develop platforms with fleet orchestration and evaluation tools for benchmarks.

Skills

Robotics software

Sensor fusion

Real-time control

Physics simulation

C++/Python

Education

Bachelor's degree in CS/CE/Robotics

Tools

MuJoCo

Gazebo

NVIDIA Isaac Sim

Job description

Google DeepMind in Cambridge, MA is seeking a Share Research Engineer in Robotics to bridge physics simulation and real hardware. You will build unified interfaces across simulators and robots, enable teleoperation, and contribute to scalable experiments.

The role requires a BS in CS/CE/Robotics, 3 years applying robotics software, and experience with MuJoCo, Gazebo, or similar, plus sensor and real-time control integration. Join a team advancing AI for robotics.