{"id":1920008,"url":"https://alion.io/job/google-deepmind-robotics-engineer-health-and-calibration","title":"Robotics Engineer, Health and Calibration","company":{"id":4,"name":"Google DeepMind","domain":"deepmind.google","url":"https://alion.io/company/deepmind","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Robotics","role_family":"Robotics","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cambridge, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":96000,"max_usd":211000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":109},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Linux","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"SciPy","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-10-05T17:10:03Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-19T18:10:56Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"description":"About the job\nAs a Robotics Engineer focused on System Health and Calibration, you will ensure that hardware is performing as expected, detect when it is not, and find software based solutions to bring it back into specifications. In this role, you will be required to build telemetry and diagnostic tools, chasing down anomalies in complex hardware-software interactions with root cause failure analysis, and creating robust and efficient calibration routines. You will work closely with a dynamic team of robotics researchers, hardware engineers, and reliability specialists to keep our robot fleet operating at peak performance.\nArtificial intelligence will be one of humanity’s most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.\nWe are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $123000 - $174000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nImplement and automate calibration routines and verification pipelines for robot sensors and assemblies.\nDevelop onboard diagnostics and telemetry tools to analyze high-frequency time-series data and detect hardware anomalies.\nInvestigate faults using testbenches and collaborate with hardware engineers for end-to-end failure isolation.\nWrite modular, high-performance C++ and Python code with strong automated test coverage.\nDocument failure modes, calibration procedures, and diagnostic playbooks to support fleet scaling.\nQualifications\nMinimum qualifications:\nBachelor’s degree in Computer Science, Computer Engineering, Robotics, or a related field, or equivalent practical experience.\n1 year of experience (or advanced degree project experience) developing, testing, and debugging software for physical robotics, mechatronic systems, or embedded platforms.\n1 year of experience with software development in one or more programming languages (C++ and Python in a Linux environment).\n\n1 year of experience with scientific and data analysis libraries (e.g., NumPy, SciPy, pandas) for processing time-series sensor or actuator logs.\n1 year of experience with sensors or actuators (encoders, motor drivers, IMUs, cameras, strain gauges, etc.).\nPreferred qualifications:\nExperience with robotic sensor calibration techniques (e.g., hand-eye calibration, multi-camera extrinsic calibration, IMU-camera temporal/spatial alignment).\nExperience conducting structured Root Cause Failure Analysis (RCFA), FMEA, or reliability engineering on physical robotic hardware or autonomous systems.\nKnowledge 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