Engineering Technician, Mechanical Assembly, Robotics, DeepMind
Google DeepMind · Cambridge, MA · 3 days ago
On-siteEngineeringFull-time
About the role
We are looking for Engineering Technicians to join the Robotics team whose mission is to build components for advanced robots capable of dexterous, general, and useful physical actions. You will contribute to developing the core hardware systems for our robots, aiming to enhance the lives of billions worldwide through advancements in the physical realm.
Responsibilities
- Execute high-precision assembly of complex robotic hardware, structural sub-assemblies, and specialized fixtures according to engineering drawings, CAD models, and schematics.
- Set up, instrument, and run early-stage operational testing, mechanical stress testing, and functional validation procedures on prototype robots.
- Support Engineering Validation Testing (EVT) by identifying mechanical anomalies, performing Root Cause Corrective Action (RCCA), and documenting failures to iterate on hardware designs.
- Redline engineering drawings and document manufacturing/assembly steps to help build formal Standard Operating Procedures (SOPs) and build books for future production runs.
Requirements
- Bachelor's degree in Mechanical Engineering, Product Design, Electrical Engineering, a related field, or equivalent practical experience.
- Experience with electromechanical assembly with common hand tools.
- Experience with precision mechanical assembly, rigging, or prototyping within the robotics, aerospace, automotive, or automation industries.
- Experience with mechanical drawings, Geometric Dimensioning and Tolerancing (GD&T) callouts, and mechanical CAD to verify assemblies.
Preferred qualifications
- Ability to design functional text fixtures and assembly aids using CAD software to support prototyping and testing.
- Ability to use common lab instrumentation (DMM, oscilloscope, LCR meter, programmable load/power supplies).
Benefits
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $105,000 - $149,000 (USD) + 15% bonus target + equity + benefits