{"id":1580082,"url":"https://alion.io/job/google-deepmind-robotics-engineer-controls-and-autonomy","title":"Robotics Engineer, Controls and Autonomy","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":"middle","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":117000,"max_usd":227000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":108},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"MuJoCo","optional":false},{"name":"Reinforcement Learning","optional":true},{"name":"Reinforcement Learning","optional":true}],"status":"live","first_seen_at":"2026-10-01T08:39:51Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-10T23:10:43Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"About the job\nArtificial intelligence will be one of humanity’s most transformative inventions. At Google 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 diverse 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.\nUS: $147000 - $210000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nDesign and implement control systems for robotic platforms, focusing on executing long-horizon, fully autonomous behaviors to put cycles on new hardware platforms.\nOptimize control loops and real-time software to ensure low-latency response and stability during complex physical interactions.\nWork within an established internal simulation based RL pipeline to accelerate design insights.\nCollaborate with the hardware and AI teams to define requirements for future robotic systems.\nEstablish software development best practices, including high test coverage and modular code architecture for behavioral stacks.\nQualifications\nMinimum qualifications:\nBachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.\n2 years of experience with software development in one or more programming languages.\n\n2 years of experience in developing and debugging robotic software systems.\n\n2 years of experience with physics-based simulation environments, specifically MuJoCo, for model development and testing.\n1 year of experience developing behaviors for mobile robotic systems.\nPreferred qualifications:\n4 years of experience in developing and debugging robotic software systems.\nProven expertise in Reinforcement Learning (RL) for robotic locomotion and physical control.\nIn-depth understanding of safe system design for physical-software interaction during autonomous operation.\nStrong background in robotic kinematics, dynamics, and classical control 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