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Google Quantum Ai Jobs (NOW HIRING)

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 ...

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 ...

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Google Quantum Ai information

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 AI?

To get a job in Google AI, candidates should have a strong background in computer science, machine learning, or quantum computing, along with relevant experience and skills in programming languages like Python and frameworks such as TensorFlow. A relevant advanced degree (master's or PhD) is often preferred, and applying through Google's careers portal with a tailored resume and preparing for technical interviews is essential.

What is a Google Quantum AI job?

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 is the Google AI quantum program?

The Google AI quantum program focuses on developing and advancing quantum computing technologies, including building quantum processors and algorithms. It aims to solve complex problems beyond classical computers' capabilities and often involves roles in research, engineering, and software development related to quantum systems.

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.

How much does Google Quantum AI pay?

Salaries for roles at Google Quantum AI vary depending on experience, role, and location, but generally range from $100,000 to over $200,000 annually for research scientists and engineers. Compensation may also include bonuses, stock options, and benefits. Entry-level positions typically start lower, while senior roles and specialized skills can command higher pay.

What is the salary of quantum AI?

Salaries for roles in quantum AI, such as research scientists or engineers, typically range from $100,000 to $150,000 annually, depending on experience, education, and location. Senior positions or those requiring specialized skills in quantum computing and AI may offer higher compensation, often exceeding $200,000 with bonuses and benefits.
More about Google Quantum Ai jobs
What cities are hiring for Google Quantum Ai jobs? Cities with the most Google Quantum Ai job openings:
What are the most commonly searched types of Google Quantum Ai jobs? The most popular types of Google Quantum Ai jobs are:
What states have the most Google Quantum Ai jobs? States with the most job openings for Google Quantum Ai jobs include:
What job categories do people searching Google Quantum Ai jobs look for? The top searched job categories for Google Quantum Ai jobs are:
Infographic showing various Google Quantum Ai job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Technical Lead, Software Technical Infrastructure, Quantum AI

Google

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

32nd of 190 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.
  • 3 years of software development experience or 1 year with an advanced degree.
  • 2 years of experience working with Kubernetes.
  • 2 years of experience building RPC infrastructure.
  • Experience with people management or as a direct technical lead of a customer-facing product.

Preferred qualifications:
  • Experience with google cloud platform technologies.
  • Experience with google distributed cloud.
  • Experience with One Platform, Apigee, OpenAPI, AIPs, and other API standards.
  • Experience building developer infrastructure.
  • Familiarity with quantum computing with an enthusiasm to learn more.

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 world 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.
In this role, you will manage and lead a team within Quantum AI. You will drive cross-team alignment on RPC standardization and prioritize and guide the direction of related sub-projects. You will work 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 bonus equity benefits
Learn more about benefits at Google .
Responsibilities
  • Lead a team of building service infrastructure (discovery, auth, observability, and rollout), owning the goals and roadmap to influence broader engineering direction.
  • Scope problems and recommend solutions for both short- and long-term needs, taking ownership of implementation or delegating to colleagues as required.
  • Drive multi-quarter outcomes as a lead contributor, separately designing and implementing solutions that solve highly ambiguous technical tests.
  • Maintain high-quality standards through code authorship and reviews, ensuring best practices in optimization while contributing to documentation and educational content.
  • Seek design feedback to determine when to enhance or build new systems, collaborating closely with research, hardware, and electronic engineering teams.

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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