Autonomous Robotics Engineer: RL & Real-Time Control

DeepMind Technologies Limited; Cambridge (MA); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google DeepMind is seeking a robotics software engineer to design and implement control systems for autonomous robotic platforms. You will optimize real-time software and work within a simulation-based RL pipeline to accelerate design insights, collaborating with hardware and AI teams to define future system requirements.

The role emphasizes safe, scalable software architectures with high test coverage, and opportunities to contribute to cutting-edge research in robotics and AI across global

Qualifications

• Bachelor’s degree in Engineering, CS, or related field, or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages.
• 2 years of experience in developing and debugging robotic software systems.
• 2 years of experience with physics-based simulation environments, specifically MuJoCo, for model development and testing.
• 1 year of experience developing behaviors for mobile robotic systems.

Responsibilities

• Design and implement control systems for robotic platforms, focusing on autonomous behaviors.
• Optimize control loops and real-time software for low latency and stability.
• Work within an established simulation-based RL pipeline to accelerate design insights.
• Collaborate with hardware and AI teams to define requirements for future robotic systems.
• Establish software development best practices, including high test coverage and modular code.

Skills

Robotics software

Reinforcement learning

Control theory

MuJoCo

Education

Bachelor’s degree in Engineering, Computer Science, or related field

Tools

MuJoCo

Job description

Google DeepMind is seeking a robotics software engineer to design and implement control systems for autonomous robotic platforms. You will optimize real-time software and work within a simulation-based RL pipeline to accelerate design insights, collaborating with hardware and AI teams to define future system requirements.

The role emphasizes safe, scalable software architectures with high test coverage, and opportunities to contribute to cutting-edge research in robotics and AI across global