Staff Electrical Engineer, Gemini Robotics

DeepMind • Mountain View, CA

7d

About The Position

Google DeepMind, Gemini Robotics Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Job Summary: The Gemini Robotics team is building the future of physical agents, creating AI-powered robots that can perceive, reason, and act in the physical world. As a Systems Integration Architect, you will play a crucial role in bringing our advanced AI models to life, integrating them with a variety of robotic platforms and building the systems that enable intelligent and autonomous behavior. You will be at the forefront of AI and robotics, working on cutting-edge problems and helping to create a new generation of helpful and safe robots.

Requirements

• Bachelor's degree in Computer Science, Robotics, or a related field, or equivalent practical experience.
• Experience with systems integration, and integrating complex software components and hardware.
• Strong programming skills in Python and/or C++.

Nice To Haves

• Master's degree or PhD in Computer Science, Robotics, or a related field.
• Experience with machine learning and deep learning, particularly in the context of robotics (e.g., reinforcement learning, computer vision, natural language processing).
• Experience with cloud computing platforms
• Experience working with different types of robotic hardware (e.g., robot arms, humanoids).
• A passion for robotics and a desire to build intelligent systems that can positively impact the world.

Responsibilities

• Design and implement the software and systems architecture for integrating large-scale AI models (including vision-language-action models and reasoning models) with diverse robotic hardware and compute infrastructures.
• Develop and maintain the "agentic framework" that orchestrates the interaction between different AI models and the robot's sensors and actuators.
• Integrate external tools and APIs, such as web search and other information sources, to enhance the robot's capabilities.
• Collaborate with research scientists and software engineers to design, implement, and test new algorithms for robot learning, planning, and control.
• Work on the challenge of "learning across embodiments," developing systems that can transfer learned skills and behaviors between different types of robots.
• Design and implement safety-critical systems and protocols to ensure the responsible and safe operation of our robots in human-centric environments.
• Contribute to the development of benchmarks and evaluation methods for assessing the performance, safety, and reliability of our robotic systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level