Robotics Engineer, Health and Calibration, DeepMind
Cambridge, MA
Full-time
Onsite
$123K/yr - $174K/yr
Entry Level
Google DeepMind is an AI research lab advancing artificial intelligence through interdisciplinary research and technology development. The Robotics Engineer will ensure robotic hardware performs as expected by developing calibration, diagnostic, and telemetry systems, investigating hardware-software anomalies, and supporting reliable operation of the robot fleet.
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
Qualification
Required
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.)
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
Benefits
15% bonus target
Equity
Benefits
Learning opportunities
Varied career pathways
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
