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Google Quantum Ai Jobs (NOW HIRING)

Socket.dev

AMS/RF Board Designer, Quantum AI

Goleta, CA · On-site

$159 - $230/hr

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 ...

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Google Quantum Ai information

What is a Google Quantum AI?

A Google Quantum AI job involves working on cutting-edge quantum computing research, hardware development, and algorithm design. Employees in this field focus on advancing quantum technologies to solve complex computational problems that classical computers cannot efficiently handle. Roles may include quantum researchers, software engineers, hardware specialists, and systems engineers. These jobs typically require expertise in quantum mechanics, computer science, and applied mathematics. Google Quantum AI aims to push the boundaries of quantum computing for real-world applications.

What kinds of projects or research do Google Quantum AI professionals typically work on?

Professionals in Google Quantum AI work on pioneering projects such as developing quantum algorithms, building scalable quantum hardware, and integrating quantum solutions with machine learning methods. Their daily responsibilities often involve conducting experiments, publishing research findings, and collaborating closely with both internal teams and academic partners worldwide. The environment is highly interdisciplinary, offering opportunities to contribute to groundbreaking solutions in fields like chemistry, cryptography, and optimization. This role offers constant learning and the chance to impact the future of computing, making it both challenging and rewarding for those passionate about quantum technology.

What are the key skills and qualifications needed to thrive in the Google Quantum AI position, and why are they important?

To thrive as a Google Quantum AI professional, you need advanced expertise in quantum computing, physics, computer science, and mathematics, typically backed by a PhD or equivalent experience. Familiarity with programming languages like Python and C++, alongside tools such as Cirq, TensorFlow, and cloud-based quantum platforms, is often required. Strong analytical thinking, collaboration, and problem-solving skills help you contribute effectively within multidisciplinary research teams. These competencies are vital for driving innovation in a fast-evolving technological area and making impactful contributions to cutting-edge AI projects.

How to get a job in Google Quantum Ai?

To get a job in Google Quantum AI, candidates should have a strong background in quantum computing, physics, or computer science, often requiring advanced degrees such as a Ph.D. or master's. Relevant skills include programming in languages like Python, experience with quantum algorithms, and familiarity with quantum hardware and software tools. Applying through Google's careers portal and demonstrating research experience or contributions to quantum technology can improve chances.
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Google Quantum Ai jobs near you
Infographic showing various Google Quantum Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution.

Research Scientist, Neutral Atoms, Quantum AI

Socket.dev

Boulder, CO • On-site

$147 - $211/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

MINIMUM QUALIFICATIONS:
  • PhD degree in Physics or Electrical Engineering, or equivalent practical experience.
  • One or more scientific publication submissions for conferences, journals, or public repositories related to quantum.
PREFERRED QUALIFICATIONS:
  • 1 year of experience owning and initiating research agendas.
  • Experience in optical and mechanical design software.
  • Experience building neutral atom experiments.
  • Knowledge of computer science.
  • Ability to collaborate with theorists.
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 - $211000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:
  • Design and implement hardware for a neutral-atom quantum computer apparatus.
  • Develop error-tailored architectures for quantum computing.
  • Enable hardware studies to develop accurate error models for neutral-atom physical operations.
  • Publish and disseminate your research findings.
  • Collaborate with quantum-error-correction experts at Google Quantum AI.
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