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Quantum Computing Google Jobs (NOW HIRING)

Umd

Assistant Professor

College Park, MD

UMD is a leader in Quantum Computing (quantum.umd.edu) that partners with leaders in the computing ... A link to the candidates' Google Scholar, Web of Science, or ORCID publication profile is ...

CACI International, Inc.

Senior Cloud Engineer

$57 - $76.25/hr

Expert-level proficiency across multiple cloud platforms (e.g., AWS, Azure, Google Cloud, IBM Cloud ... Contributions to cloud computing standards or patents * Experience with quantum computing ...

Fortanix

Product Support Engineer (US based)

$70K - $120K/yr

Whether implementing a Zero Trust model or preparing for the post-quantum computing era, we help ... Familiarity with HSM and KMS in the cloud (AWS CloudHSM, AWS KMS, Google KMS, Azure KeyVault, IBM ...

KPMG

Manager, GCP Architect

Atlanta, GA · On-site

... and quantum computing to design and implement real-world solutions for a variety of business ... Responsibilities: * Lead the design and implementation of Google Cloud Platform (GCP ...

Logiqal, Inc

Atomic Physicist

Princeton, NJ · On-site

$130K - $175K/yr

... MIT and Google Quantum. Our approach is based on neutral atom qubit technology developed in ... computing. If you're excited to build something that's never existed before at the cutting edge of ...

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How much do quantum computing google jobs pay per hour?

As of Jun 29, 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.

Is Google investing in quantum computing?

Google is actively investing in quantum computing research, developing quantum processors like Sycamore and exploring applications in fields such as cryptography and optimization. The company’s Quantum AI team works on advancing quantum hardware and algorithms, aiming to achieve quantum supremacy and practical quantum advantage. Job roles in this area often require expertise in quantum algorithms, physics, and computer science.

Does Google have a working quantum computer?

Google has developed a quantum computer called Sycamore, which achieved quantum supremacy in 2019 by performing a specific calculation faster than the most powerful classical supercomputers. While it demonstrates significant progress, it is not yet a general-purpose, commercially available quantum computer for widespread use.

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.

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.

Who leads Google quantum computing?

Google quantum computing is led by a team of researchers and engineers, with Dr. Hartmut Neven serving as the Director of the Quantum Artificial Intelligence Lab. The team focuses on developing quantum processors and algorithms, often collaborating with academic and industry partners to advance the field.
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Quantum Computing Google jobs near you

Full Stack Software Engineer (Junior/Senior/Expert) (U.S. Citizen/Security Clearance Required)

Task Force Talent

Chantilly, VA • On-site

$100K - $250K/yr

Full-time

Posted 25 days ago

Job description

Task Force Talent is seeking Full Stack Software Engineers (all levels - Junior/Senior/Expert) (many openings) with an active TS/SCI FSP security clearance. We have multiple clients, ranging in size from ~5 to ~2000 people, seeking very similar skill sets for work in locations throughout the Washington, D.C. area. This application puts you into consideration for dozens of positions, and we'll match you with the best fits according to your interests and preferences.


Further details will be provided to qualified candidates after an initial interview.


Target salary range is $100K to $250K, depending on experience level.


All positions are full-time, in-office, usually in a SCIF.


If you apply but this company is not a fit, we will consider you for other available positions as well. We have several clients seeking very similar skill sets.


Not your dream job, but perfect for a friend? You can submit a referral and get a check for $2000 or more: https://www.taskforcetalent.com/referral/

(Terms and conditions apply.)

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Qualifications:

  • U.S. citizen with active TS/SCI FSP security clearance. (Sorry, we are unable to sponsor or upgrade clearances for this role.)
  • All skill levels (multiple openings)
  • Experience with any major programming language (Python, Java, flavors of C/C#, Javascript)
  • Experience with any flavor of database (SQL, Elasticsearch, etc.)
  • Experience with any major cloud provider (AWS, Azure, Google Cloud)

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Interview Process:

The process typically involves an initial phone screen followed by technical interviews. Contingent offers are usually made quickly, within a week or two. Depending on the level of experience and terms of the contract, additional interviews may be required with a prime contractor/partners or the end customer.

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About Us:

Task Force Talent is a specialized recruiting firm for science, engineering, and security careers. Our clients include seed to Series B startups working on AI, cybersecurity, quantum computing, and other novel technologies. We also work with small to medium size government contractors, and we help leading venture capital firms find talent for their portfolio companies. We have hundreds of jobs available and consider all applicants for all roles, now and in the future. Our goal is to find the best fit for you!


If you don't see the perfect fit, simply use our general application.