Robotics Engineer, Health and Calibration, DeepMind

• Implement and automate calibration routines and verification pipelines for robot sensors and assemblies.
• Develop onboard diagnostics and telemetry tools to analyze high-frequency time-series data and detect hardware anomalies.
• Investigate faults using testbenches and collaborate with hardware engineers for end-to-end failure isolation.
• Write modular, high-performance C++ and Python code with strong automated test coverage.
• Document failure modes, calibration procedures, and diagnostic playbooks to support fleet scaling.

Minimum qualifications:

• Bachelor’s degree in Computer Science, Computer Engineering, Robotics, or a related field, or equivalent practical experience.
• 1 year of experience (or advanced degree project experience) developing, testing, and debugging software for physical robotics, mechatronic systems, or embedded platforms.
• 1 year of experience with software development in one or more programming languages (C++ and Python in a Linux environment).
• 1 year of experience with scientific and data analysis libraries (e.g., NumPy, SciPy, pandas) for processing time-series sensor or actuator logs.
• 1 year of experience with sensors or actuators (encoders, motor drivers, IMUs, cameras, strain gauges, etc.).

Preferred qualifications:

• Experience with robotic sensor calibration techniques (e.g., hand-eye calibration, multi-camera extrinsic calibration, IMU-camera temporal/spatial alignment).
• Experience conducting structured Root Cause Failure Analysis (RCFA), FMEA, or reliability engineering on physical robotic hardware or autonomous systems.
• Knowledge of robotic system design, including kinematics, dynamics, control algorithms, and perception systems.
  
• Demonstrated ability to design and implement diagnostic and calibration algorithms of appropriate complexity to meet system specifications.
• Keen eyes for anomalies in system performance before they become catastrophic failures.

• Bachelor’s degree in Computer Science, Computer Engineering, Robotics, or a related field, or equivalent practical experience.
• 1 year of experience (or advanced degree project experience) developing, testing, and debugging software for physical robotics, mechatronic systems, or embedded platforms.
• 1 year of experience with software development in one or more programming languages (C++ and Python in a Linux environment).
• 1 year of experience with scientific and data analysis libraries (e.g., NumPy, SciPy, pandas) for processing time-series sensor or actuator logs.
• 1 year of experience with sensors or actuators (encoders, motor drivers, IMUs, cameras, strain gauges, etc.).