Robotics Engineer, Controls and Autonomy, DeepMind

• Design and implement control systems for robotic platforms, focusing on executing long-horizon, fully autonomous behaviors to put cycles on new hardware platforms.
  
• Optimize control loops and real-time software to ensure low-latency response and stability during complex physical interactions.
  
• Work within an established internal simulation based RL pipeline to accelerate design insights.
  
• Collaborate with the hardware and AI teams to define requirements for future robotic systems.
• Establish software development best practices, including high test coverage and modular code architecture for behavioral stacks.

Minimum qualifications:

• Bachelor’s degree in Engineering, Computer Science, a 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.

Preferred qualifications:

• 4 years of experience in developing and debugging robotic software systems.
• Proven expertise in Reinforcement Learning (RL) for robotic locomotion and physical control.
• In-depth understanding of safe system design for physical-software interaction during autonomous operation.
• Strong background in robotic kinematics, dynamics, and classical control theory.

• Bachelor’s degree in Engineering, Computer Science, a 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.