Minimum qualifications:- Bachelor's degree in Mechanical Engineering, Product Design, Electrical Engineering, a related field, or equivalent practical experience.
- 4 years of experience working in engineering robotics or automotive hardware engineering.
Preferred qualifications:- Master's or PhD degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, Physics, or a related field.
- 1 year of experience in technical leadership.
About the jobAt Google DeepMind Robotics we are pioneering bringing AI to the physical world. We are powering an era of physical agents, enabling robots to perceive, plan, think, use-tools, and act to better solve complex tasks. We develop advanced Vision Language Action (VLA) models that combine Gemini's world understanding with physical actions to directly control robots. These models include Gemini Robotics (our most advanced Gemini model for the physical world), and Gemini Robotics On-Device (our fastest Gemini model that runs without a data network). We also develop advanced reasoning and agentic systems for the physical world, including: Gemini Robotics-ER, a Gemini agent with advanced spatial understanding and agentic reasoning. These models enable robots to perform a broad range of tasks, respond interactively to their environment, achieve high dexterity, and reason over long multi-step tasks.
We are always focused on advancing the in all areas of general purpose robotics, including agentic reasoning, real world understanding, action generalization, human robot interaction, dexterity, whole-body-control, continual learning, and more. We partner with key robotics companies to bring this intelligence to the physical world across a broad range of applications at scale.
In this role, you will collaborate closely with research and engineering teams to transform conceptual 'visions' into tangible, high-fidelity hardware.
US: $150,000 - $218,000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities- Design and develop mechanical systems for novel robotic platforms, ensuring they meet the high-performance requirements of advanced AI research.
- Integrate complex thermal management solutions within tight mechanical constraints to ensure system stability and performance.
- Prototype concepts to validate designs, utilizing a "fail fast" mentality to iterate on hardware solutions.
- Design and manage critical cable routing and connector selection to maintain system integrity and reliability.
- Develop and execute rigorous vibration and shock testing protocols (e.g., drop testing) to establish system requirements and protect sensitive internal components.
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