Lead Prototyping Machinist, DeepMind

About the role

Join the Robotics team at Google DeepMind. Your 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.

Responsibilities

• Learn more about benefits at Google
• Program, set up, and operate high-end 5-axis and mill-turn platforms (e.g., DMG DMU 40EVO, Okuma Multus) to produce complex cylindrical and prismatic components.
• Design custom workholding in CAD and execute rigorous in-process inspections using CMM and optical metrology to ensure sub-thousandth precision.
• Apply first-principles machining to high-performance alloys like Inconel and Titanium, including performing in-house heat treatment for rapid prototype iteration.
• Manage project flow via Fulcrum Pro, maintain standardized CAM tool libraries, and establish best practices for safety and operational excellence.

Requirements

• Bachelor's degree or equivalent practical experience.
• 10 years of experience as a Computer Numerical Control (CNC) machinist in an R&D environment.
• 6 years of experience with simultaneous 5-axis milling and multi-axis mill-turn programming and operation.
• 6 years of experience with high-end control architectures such as Heidenhain, Siemens (840D/Sinumerik One), or Okuma OSP.
• 6 years of experience with modern CAD platforms (such as Onshape and SolidWorks).
• 6 years of experience with CAM platforms (such as ESPRIT EDGE or hyperMILL).

Qualifications

• Track record of significant contributions in high-velocity, technology-first industries such as Formula 1, motorsports, Robotics R&D labs, or Automotive Skunk Works.

Skills

• Strong understanding of CNC machining processes and high-performance materials.
• Experience with CAD/CAM software and modern control systems.
• Ability to work independently and manage projects in a fast-paced environment.
• Excellent problem-solving and attention to detail skills.

Benefits

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $171,000 - $248,000 (USD) + 20% bonus target + equity + benefits