Systems Integration Architect, Gemini Robotics

Snapshot

Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were 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.

Google DeepMind Gemini Robotics

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.

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 robots sensors and actuators.
• Integrate external tools and APIs such as web search and other information sources to enhance the robots 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.

Minimum Qualifications:

• Bachelors 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.

Preferred Qualifications:

• Masters 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.

The US base salary range for this full-time position is between $197000 - $349000 bonus equity benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

At Google DeepMind we value diversity of experience knowledge backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex race religion or belief ethnic or national origin disability age citizenship marital domestic or civil partnership status sexual orientation gender identity pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation please do not hesitate to let us know.