Systems Integration Architect, Gemini Robotics at DeepMind

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Jan, 26

Salary

349000.0

Posted On

14 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Systems Integration, Software Architecture, Robotics, Python, C++, Machine Learning, Deep Learning, Reinforcement Learning, Computer Vision, Natural Language Processing, Cloud Computing, Safety Protocols, Algorithms, Robotic Hardware, AI Models, Agentic Framework

Industry

Research Services

Description

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. 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. 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. Minimum Qualifications: 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++. Preferred Qualifications: 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. The US base salary range for this full-time position is between $197,000 - $349,000 + 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.

Responsibilities

Design and implement software and systems architecture for integrating AI models with robotic hardware. Collaborate with scientists and engineers to develop algorithms for robot learning and ensure safe operation in human-centric environments.