Robotics Hardware Engineer
Summary
Owns end-to-end robotics hardware prototyping, integration, and bring-up at Google DeepMind's London lab — designing end-effectors and fixtures in CAD, validating actuators and sensors over buses like CAN and EtherCAT, and writing C/C++ firmware plus Python/Linux diagnostics to support daily robot data collection and AI policy evaluation.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
- Design, fabricate, and iterate on robotic end-effectors, teleoperation devices, sensor mounts, and test fixtures from concept CAD through benchtop validation.
- Bring up, integrate, and validate actuators (BLDC motors/drives), cameras, tactile/IMU sensors, and PCBAs across robot platforms using standard buses (CAN, EtherCAT, SPI, I2C, USB).
- Write and maintain basic microcontroller firmware (C/C++) and low-level Linux drivers, hardware interfaces, and calibration/diagnostic scripts (Python, C++) to expose new sensors and actuators to the robot stack.
- Design and build reliable wiring harnesses, quick-turn electronics packaging, and strain-relieved cable routing across articulating robotic joints.
- Troubleshoot issues across mechanical, electrical, and firmware boundaries, performing Root Cause Corrective Action (RCCA) to maximize lab fleet uptime and reliability (MTBF).
Minimum qualifications:
- Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Mechatronics, Robotics, a related technical field, or equivalent practical experience.
- 4 years of experience working in robotics hardware development, electromechanical prototyping, or robot systems integration.
- Experience in 3D CAD (e.g., SolidWorks, Onshape, NX, or Creo) and direct prototyping (e.g., 3D printing, machining, laser cutting, or cable harnessing).
- Experience writing embedded firmware for microcontrollers (e.g., C or C++) and low-level hardware interface, driver, or diagnostic code in Python and C++ on Linux.
- Experience with debugging using lab instrumentation (e.g., oscilloscopes, logic analyzers, or DMMs) and embedded communication buses (e.g., CAN, EtherCAT, SPI, I2C, or USB).
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field.
