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How much do quantum computing google jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for quantum computing google in the United States is $25.83, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $31.97 per hour, depending on experience, location, and employer.

What are some typical challenges faced by professionals in Google's Quantum Computing team, and how can new hires prepare to address them?

Professionals in Google's Quantum Computing team frequently encounter challenges such as bridging the gap between theoretical research and practical hardware implementation, collaborating across multidisciplinary teams, and keeping pace with rapid advancements in both quantum theory and engineering. New hires can prepare by staying current with the latest research, developing strong communication skills for interdisciplinary work, and gaining hands-on experience with quantum programming frameworks and hardware. Proactively seeking mentorship and participating in internal knowledge-sharing sessions can also help new team members adapt quickly and contribute effectively.

Does Google do quantum computing?

Google is actively involved in quantum computing research and development, operating a dedicated quantum AI lab and developing quantum processors like Sycamore. They focus on advancing quantum algorithms, hardware, and software to explore potential applications in various fields.

Does Google hire quantum computing engineers?

Yes, Google hires quantum computing engineers to work on its quantum hardware and software projects, often requiring expertise in quantum algorithms, programming languages like Qiskit, and a background in physics or computer science. These roles typically involve research, development, and collaboration within Google's Quantum AI division.

What is the difference between Quantum Computing Google vs Quantum Software Engineer?

AspectQuantum Computing GoogleQuantum Software Engineer
Required CredentialsAdvanced degrees in physics, computer science, or related fields; knowledge of quantum mechanicsDegree in computer science, physics, or engineering; programming skills in quantum languages
Work EnvironmentResearch labs, tech giants like Google, collaborative teamsTech companies, research institutions, software development teams
Industry UsageQuantum research, hardware development, applied quantum algorithmsDeveloping quantum algorithms, software applications, simulations
Common Search & ComparisonFocuses on quantum hardware and research at GoogleFocuses on quantum programming and software development

Quantum Computing Google professionals work on hardware research and quantum algorithms at Google, while Quantum Software Engineers focus on developing quantum software and algorithms across various companies. Both roles require strong technical skills but differ in their focus areas within the quantum industry.

How much do quantum physicists make at Google?

Quantum physicists at Google typically earn between $100,000 and $180,000 annually, depending on experience, education, and specific role. Senior positions or those with specialized skills in quantum algorithms or hardware may earn higher salaries, often supplemented with bonuses and stock options.

How much does Google quantum pay?

Salaries for roles related to quantum computing at Google vary depending on experience and position, but typically range from $100,000 to over $200,000 annually for research scientists and engineers. Compensation may also include bonuses, stock options, and benefits, with higher salaries for those with advanced degrees and specialized skills in quantum algorithms and hardware. Entry-level roles generally start lower, while senior positions offer higher pay based on expertise and contributions to quantum projects.

What are the key skills and qualifications needed to thrive as a Quantum Computing Engineer at Google, and why are they important?

To excel as a Quantum Computing Engineer at Google, you need a solid background in quantum mechanics, computer science, and mathematics, typically supported by a relevant advanced degree (such as a PhD) in physics, engineering, or computer science. Familiarity with quantum programming languages (like Qiskit or Cirq), high-performance computing tools, and experience with quantum hardware or simulation platforms are highly valued. Strong problem-solving abilities, collaboration, and effective communication skills distinguish top performers in this field. These skills are essential for advancing quantum technology, developing innovative algorithms, and contributing to Google’s cutting-edge research and product development.

What is a Quantum Computing Engineer at Google?

A Quantum Computing Engineer at Google is a professional who works on developing and advancing quantum computing technologies and algorithms. Their responsibilities include designing quantum hardware, creating quantum algorithms, and collaborating with physicists, software engineers, and researchers to solve complex computational problems. These engineers contribute to projects like Google Quantum AI, aiming to harness the power of quantum mechanics for tasks that are challenging for classical computers. The role requires expertise in quantum mechanics, computer science, and often experience with programming languages like Python and quantum frameworks such as Cirq. Overall, they play a key part in pushing the boundaries of what's possible in computing.
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Quantum Computing Google jobs near you
Infographic showing various Quantum Computing Google job openings in the United States as of July 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $53,724 per year, or $25.8 per hour.
Senior Staff Research Scientist, Quantum Error Correction, Quantum AI

Senior Staff Research Scientist, Quantum Error Correction, Quantum AI

Google

Goleta, CA • On-site

$106K - $135K/yr

Full-time

Posted 15 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

40th of 209 rated software companies

Job description

Minimum qualifications:
  • PhD or equivalent experience in a domain relevant to quantum computing, such as math, physics, computer science, or electrical engineering.
  • 10 years of experience in quantum computing research.
  • Research publications in quantum error correction.

Preferred qualifications:
  • Experience in working with quantum error correction experiments.
  • Experience writing software to simulate and study quantum error correction.
  • Research publications in quantum LDPC codes, compiling fault-tolerant algorithms, and circuits for non-clifford gates.

About the job
In this role, you will be a senior researcher on the quantum error correction team within Quantum AI, responsible for setting research agendas into new and improved forms of quantum error correction. You will explore exciting research directions including quantum LDPC codes and compact circuits for non-clifford gates such as magic-state cultivation.
As a Research Scientist, you will 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.
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: $262000 - $365000 (USD) 25% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Develop new quantum codes that achieve high encoding rate, high distance, or favorable layout in hardware.
  • Develop new constructions for non-clifford logical gates.
  • Analyze fault-tolerant circuits for syndrome measurement and logical operations.

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