Artificial Intelligence is moving beyond the screen and into the physical world. At Google DeepMind, we are pioneering "Embodied AI"—teaching intelligence to understand, navigate, and physically interact with reality. But the world's most advanced AI models are fundamentally limited by the hardware they control. To bridge this gap, we are building an in-house robotics team to design, machine, and assemble the bespoke physical systems that will bring the next generation of AI to life.
As a Lead Prototyping Engineer/Machinist, you will join the Robotics team. Our mission is to build advanced robotic subsystems capable of dexterous, general, and useful physical actions. You will lead the "zero-to-one" manufacturing of core hardware, bridging the gap between abstract research and high-performance physical reality.
In this role, you will grow in low-volume, high-complexity environments where time is the primary commodity of scarcity. You are not just an operator; you are a manufacturing engineer capable of looking at a "no-bid" or conceptually incomplete design, filling in the blanks, and determining the optimal strategy to bring it to life.
You understand the rhythm of Research and Development (R&D) and strike a thoughtful balance between execution and feedback. You have the skill to hit exacting tolerances as drawn to maintain project momentum, combined with the tact to provide constructive Design for Manufacturability (DFM) guidance to engineers when it truly matters. You will own the prototyping process end-to-end, working in daily lockstep with researchers to deliver hardware out of novel materials for extreme environments.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
Based on 1,090 disclosed Trades salaries on RoleSuite, the role pays a median of $73K/year, with most offers between $59K and $88K (10th–90th percentile: $52K–$115K).
This posting lists $105K–$149K, above the $73K market median.
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