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Quantum Computing Google Jobs in California (NOW HIRING)

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 ...

You will support a technically diverse workforce spanning quantum physicists, semiconductor Fab ... Key Selection Criteria IT Support Skills Okta, Google Workspace, Slack, M365 and with broader SaaS ...

Quantum Computing Google information

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$11

$25

$39

How much do quantum computing google jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for quantum computing google in California is $25.49, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $31.54 per hour, depending on experience, location, and employer.

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.

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.

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 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.

Does Google work on quantum computing?

Google's Quantum AI team actively researches and develops quantum computing technologies, including building quantum processors and algorithms. They have achieved significant milestones such as demonstrating quantum supremacy and continue to explore practical applications in fields like cryptography and optimization.

What are the most commonly searched types of Quantum Computing Google jobs in California?

The most popular types of Quantum Computing Google jobs in California are:

What are popular job titles related to Quantum Computing Google jobs in California?

For Quantum Computing Google jobs in California, the most frequently searched job titles are:

What job categories do people searching Quantum Computing Google jobs in California look for?

The top searched job categories for Quantum Computing Google jobs in California are:

Infographic showing various Quantum Computing Google job openings in California as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 68% Physical, 4% Hybrid, and 28% Remote job distribution, with an average salary of $53,021 per year, or $25.5 per hour.

Research Scientist, Quantum Error Correction, Quantum AI

Goleta, CA • On-site


Google
Software Development • 10K+ employees

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Company rating: 8.8 out of 10

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Full-time

Re-posted 12 days ago


Job description

info_outline
X Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Goleta, CA, USA; Los Angeles, CA, USA.
Minimum qualifications:
  • PhD degree in Quantum Computing domain, such as Math, Physics, Computer Science, Electrical Engineering, or equivalent practical experience.
  • Research publication experience in quantum error correction.

Preferred qualifications:
  • 1 year of experience owning and initiating research agendas.

About the job
As a Quantum Research Scientist, you will develop quantum error correction (QEC) schemes for fault-tolerant quantum computing, specifically focusing on superconducting qubits and high-connectivity platforms. You will develop and analyze QEC for modular architectures, addressing challenges such as entangling links between chips that are slower or more faulty than on-chip gates. Your role involves developing fault-tolerant circuits for logical gates while navigating hardware tradeoffs on connectivity and engineering higher accuracy decoding algorithms for high-connectivity codes, such as Low-Density Parity-Check (LDPC) codes.
Beyond the technical design, you will contribute to the wider research community by sharing and publishing your findings. These contributions will be inspired by internal projects as well as through active collaborations with research programs at partner universities and technical institutes globally.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 .
Responsibilities
  • Develop new quantum codes that achieve high encoding rate, high distance, or favorable layout in hardware. Important examples include LDPC codes and yoked encoding schemes. Adapt error correction circuits to hardware constraints on connectivity.
  • Analyze fault-tolerant circuits for syndrome measurement and logical operations.
  • Simulate quantum codes under noise models and evaluate performance.

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