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Internship Quantum Computing Google Jobs in Raleigh, NC

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Internship Quantum Computing Google information

See Raleigh, NC salary details

$5

$16

$24

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

As of Jul 14, 2026, the average hourly pay for internship quantum computing google in Raleigh, NC is $16.18, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $17.98 per hour, depending on experience, location, and employer.

What is an Internship in Quantum Computing at Google?

An Internship in Quantum Computing at Google is a temporary position for students or recent graduates to work on projects related to quantum algorithms, quantum hardware, or quantum software. Interns collaborate with Google's Quantum AI team, gaining hands-on experience with cutting-edge quantum technologies and research. The internship typically lasts for a few months and provides mentorship, access to Google's resources, and opportunities to contribute to real-world quantum computing advancements. Applicants usually need a strong background in physics, computer science, mathematics, or related fields, along with programming experience.

How much do Google interns get paid?

Google interns, including those in quantum computing roles, typically receive a competitive hourly or monthly stipend that varies by location and internship level. Internships often last 10-12 weeks and may include additional benefits such as housing stipends or transportation allowances. Exact compensation details are usually provided during the application process or on the company's careers page.

How much do quantum computing interns get paid?

Quantum computing interns at companies like Google typically receive stipends or hourly pay that can range from $20 to $50 per hour, depending on experience and location. Internships often last 10 to 12 weeks and may include additional benefits such as mentorship and access to cutting-edge research tools.

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

To thrive as a Quantum Computing intern at Google, you need a strong background in quantum mechanics, computer science, and mathematics, typically evidenced by advanced coursework or research experience. Familiarity with programming languages such as Python and quantum computing frameworks like Cirq or Qiskit is highly valued. Strong problem-solving skills, collaboration, and effective communication are essential soft skills for excelling in team-based research environments. These abilities are crucial for contributing to cutting-edge projects, rapidly learning new concepts, and effectively sharing findings within a multidisciplinary team.

What kinds of projects do interns typically work on during a Quantum Computing internship at Google?

Quantum Computing interns at Google often contribute to cutting-edge research and development projects, such as designing quantum algorithms, optimizing quantum hardware, or building software tools for quantum systems. Interns may collaborate with research scientists, software engineers, and fellow interns in multidisciplinary teams. The work environment is fast-paced and highly collaborative, with opportunities to attend seminars, present findings, and gain hands-on experience with Google's quantum computing platforms. These internships provide valuable exposure to both theoretical and practical aspects of quantum computing, helping interns build strong foundations for future roles in academia or industry.

How to get an internship in quantum computing?

To secure a quantum computing internship, candidates should have a strong background in physics, computer science, or electrical engineering, with knowledge of quantum mechanics and programming languages like Python or Qiskit. Relevant experience through coursework, research projects, or certifications in quantum algorithms and hardware can improve chances. Applying to companies or research labs that focus on quantum technologies and demonstrating strong analytical and problem-solving skills are essential steps.

Does Google have quantum computing?

Google has developed quantum computing technology and operates a quantum AI lab focused on advancing quantum hardware and algorithms. They have achieved significant milestones, such as demonstrating quantum supremacy, and offer research and internship opportunities in this field for students and professionals interested in quantum computing skills.

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

AspectInternship Quantum Computing GoogleQuantum Software Engineer
Required CredentialsUndergraduate or graduate in CS, Physics, or related fields; some coding experienceAdvanced degree (Master's/PhD) in CS, Physics, or related; strong coding and quantum computing skills
Work EnvironmentInternship program at Google, collaborative, research-focusedFull-time role in tech companies or research labs, development and implementation focus
Employer & Industry UsageGoogle's quantum research division, tech industryTech companies, research institutions, startups in quantum computing

Internship Quantum Computing Google offers a temporary, entry-level experience for students interested in quantum tech, focusing on learning and research. Quantum Software Engineers are full-time professionals developing quantum algorithms and software, requiring advanced skills. The internship is ideal for students exploring the field, while the engineer role is for those seeking a career in quantum software development.

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Internship Quantum Computing Google jobs near you
Infographic showing various Internship Quantum Computing Google job openings in Raleigh, NC as of July 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $33,657 per year, or $16.2 per hour.
Academy - Demand Generation Specialist

Academy - Demand Generation Specialist

NetApp, Inc.

Morrisville, NC • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 7 days ago

Job description

Job Summary
Join NetApp's Demand Marketing team and help drive data-driven campaigns that enable enterprise customers to modernize their data infrastructure for AI and cloud workloads. In this role, you'll blend marketing strategy, analytics, and technology to influence pipeline growth, optimize campaign performance, and support NetApp's go-to-market initiatives.
What You'll Do
  • Research and develop audience profiles to better understand buyer needs, priorities, and engagement patterns across enterprise IT and data leadership audiences.
  • Analyze marketing content and campaign performance to identify opportunities that improve audience engagement and pipeline generation.
  • Partner with Product Marketing, Customer Experience, and Sales teams to develop and execute multi-channel demand generation campaigns.
  • Create compelling campaign messaging, email programs, and digital content that communicate NetApp's data infrastructure and AI value proposition.
  • Monitor key marketing metrics, including engagement, conversion, and pipeline performance, and provide insights to optimize future campaigns.
  • Leverage marketing technology, data, and analytics tools to support campaign execution and reporting.
  • Present recommendations and business insights to stakeholders and leadership teams.

What You'll Gain
  • Exposure to enterprise technology, AI, cloud, and data infrastructure markets.
  • Experience working in a global, cross-functional marketing organization.
  • Opportunities to build expertise in demand generation, campaign analytics, digital marketing, and marketing operations.
  • Visibility with senior leaders and opportunities to contribute to strategic business initiatives.
  • A strong foundation for a career in marketing, business strategy, customer engagement, or go-to-market operations.

Qualifications
  • Bachelor's or Master's degree in Marketing, Business, Communications, Data Analytics, or a related field.
  • Interest in B2B marketing, technology, AI, cloud computing, or enterprise software.
  • Strong analytical and problem-solving skills with the ability to interpret data and identify actionable insights.
  • Excellent written and verbal communication skills.
  • Ability to manage multiple priorities in a fast-paced, collaborative environment.
  • Experience with marketing analytics, CRM, or digital marketing platforms.
  • Proficiency with Excel, Google Sheets, or data visualization tools.
  • Familiarity with AI, cloud technologies, or enterprise software markets.
  • Previous experience through internships, campus organizations, projects, or related professional roles.

Compensation:
The target salary range for this position is 88,400 - 132,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process.

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