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Internship Google Quantum Ai Jobs (NOW HIRING)

... or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance ... Quantum architecture internships offer a chance to work in cutting edge research to move quantum ...

... based AI models. Pathway is a post-transformer neo-lab that has solved that problem. We are ... Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist ...

Engage in quantum engineering projects, applying principles of quantum mechanics to engineering ... Experience mentoring junior colleagues and interns.

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Internship Google Quantum Ai information

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How much do internship google quantum ai jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for internship google quantum ai in the United States is $17.08, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Google Quantum AI, and why are they important?

To thrive as an intern at Google Quantum AI, you generally need a strong background in quantum mechanics, computer science, mathematics, or related fields, typically supported by ongoing enrollment in a relevant graduate or undergraduate program. Familiarity with quantum programming languages (like Cirq or Qiskit), Python, and experience with research tools or cloud platforms are often expected. Analytical thinking, curiosity, strong problem-solving abilities, and effective communication are important soft skills for success. These skills and qualities are vital for contributing to cutting-edge research, collaborating with multidisciplinary teams, and advancing innovation in quantum computing.

What types of projects do interns typically work on during a Google Quantum AI internship?

As a Google Quantum AI intern, you can expect to work on real-world research and development projects that contribute to advancing quantum computing technology. Projects often involve tasks such as developing quantum algorithms, improving quantum hardware or error correction techniques, or contributing to open-source quantum software. Interns usually collaborate closely with experienced researchers, engineers, and fellow interns, gaining exposure to interdisciplinary teamwork. The work environment encourages learning, experimentation, and regular feedback, making it an excellent place to grow technical and research skills.

What is the difference between Internship Google Quantum Ai vs Quantum Software Engineer?

AspectInternship Google Quantum AiQuantum Software Engineer
Required CredentialsEnrolled in or recent graduate of relevant STEM programsBachelor's or master's in computer science, physics, or related fields
Work EnvironmentInternship program at Google, collaborative, research-focusedFull-time role, developing quantum algorithms and software
Employer & Industry UsageGoogle's quantum research division, tech industryTech companies, research labs, startups in quantum computing
Comparison Search IntentUnderstanding internship opportunities in quantum AICareer path in quantum software development

Internship Google Quantum Ai is a temporary, research-focused internship aimed at students or recent graduates, while a Quantum Software Engineer is a full-time professional role developing quantum algorithms and software. Internships provide hands-on experience, whereas full-time roles involve ongoing project development and career growth in quantum computing.

What is a Google Quantum AI Internship?

A Google Quantum AI Internship is a program where students and early-career researchers work with Google's Quantum AI team to gain hands-on experience in quantum computing research and development. Interns collaborate with leading scientists and engineers on projects involving quantum algorithms, hardware, and software. The program provides mentorship, access to advanced quantum computing resources, and opportunities to contribute to groundbreaking advancements in the field. Interns typically have backgrounds in physics, computer science, engineering, or related areas. The experience is designed to foster skill development and prepare interns for future roles in quantum technology.
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Infographic showing various Internship Google Quantum Ai job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $35,518 per year, or $17.1 per hour.

Technical Lead Manager, Product Software, Quantum AI

Google

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Google rating

8.8

Company rating: 8.8 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

50th of 241 rated software companies


Job description

info_outline
X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Goleta, CA, USA.
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development, with a focus on distributed computing.
  • 3 years of experience in a technical leadership role, guiding engineers to design and implement client-side tools or APIs.
  • 2 years of experience in a people management or team leadership role.
  • Experience with client-side development, including the architecture of client libraries, command line interface (CLI) tools, or web interfaces.

Preferred qualifications:
  • Experience with Google Cloud Platform technologies, such as Compute Engine or Cloud Spanner.
  • Experience with Kubernetes and Google Distributed Cloud.
  • Experience designing gRPC APIs.
  • Experience designing and maintaining client interfaces - web UIs, libraries and CLIs.
  • Familiarity in quantum computing.

About the job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
Google's Quantum AI team builds and runs algorithms on today's leading quantum computers. As these machines grow from research prototypes into products, the software that orchestrates and executes quantum computations will need to transition into a form that more closely resembles traditional software products.
This role focuses on customer tools for Quantum AI hardware systems. The technical scope spans APIs, UIs, CLIs and client libraries for managing quantum processors and user workloads run on them. This role works closely with the research, product, and software teams on the Quantum AI team. Much of this work is greenfield, representing an opportunity for high impact.
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: $207000 - $301000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Scope problems and recommend solutions for both short and long-term needs, taking ownership of goal and roadmapping to influence other engineers, and implementing solutions or delegating to colleagues.
  • Drive outcomes as a key contributor, designing or implementing projects that span multiple quarters without supervision, and consistently generating the ideas required to solve ambiguous problems.
  • Write and review code to ensure best practices are met, contributing to data preparation, optimization, and performance enhancements confirming all aspects of technical work are high quality.
  • Seek out and incorporate feedback on designs to determine when to enhance existing systems or build new systems, and contribute to existing documentation or educational content.
  • Work closely with other research groups and collaborate with teams of different backgrounds, including hardware engineers, electronic engineers, or research scientists.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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