Robotics Software Engineer for GenAI & Real-Time Systems

Google DeepMind; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google DeepMind in Mountain View, CA is seeking a Software Engineer to build software for robotic manipulation, integrating hardware and software across the robot stack, from firmware to high-level control and analytics. You will partner with ML and neuroscience researchers to translate ideas into robust, scalable systems.

Responsibilities include creating testing systems for agents in 2D/3D simulations and real robots, building visualization tools, developing competitive leaderboards, and

Qualifications

• Bachelor's degree in CS/CE/Robotics or related field.
• 5 years of experience developing and debugging electrical or electromechanical systems and integrating multiple software systems.

Responsibilities

• Design and develop robust software to integrate hardware components into a unified data ecosystem, from low-level firmware to database integration software.
• Build scalable back-end software to process real-time sensor data and intuitive front-end software for system monitoring and operator control.
• Ensure low-latency communication and system stability across the entire robot stack.
• Establish a culture of following software development best practices, including modularity, well documented code, and high test coverage.

Education

Bachelor's degree in Computer Science, Computer Engineering, Robotics, or a related field

Tools

Python

C++

Linux environments

Computer architecture

Communication protocols

Job description

Google DeepMind in Mountain View, CA is seeking a Software Engineer to build software for robotic manipulation, integrating hardware and software across the robot stack, from firmware to high-level control and analytics. You will partner with ML and neuroscience researchers to translate ideas into robust, scalable systems.

Responsibilities include creating testing systems for agents in 2D/3D simulations and real robots, building visualization tools, developing competitive leaderboards, and