Research Scientist, Neutral Atoms, Quantum AI
Listed on Alphabet’s official careers site. Listed as of October 13, 2026. Check that it is still open and apply there.
Apply on Alphabet’s careers site →Job description
info_outline About the job As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies.
From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
As a Research Scientist, you will be joining a team building a fault-tolerant quantum computer based on neutral atoms. You will be involved in research and development to advance the neutral atom quantum platform, translating theoretical concepts into practical experimental setups. The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems.
Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US
$147000 - $210000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google .
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