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Internship Entry Level Quantum Computing Jobs (NOW HIRING)

PsiQuantum

Associate Optical Packaging Engineer

Milpitas, CA · On-site

$150K - $194K/yr

Quantum computing is not an extension of classical computing. It represents a fundamental shift-and ... internships and research experience may be considered). * Basic understanding of optical alignment ...

PsiQuantum

Associate Optical Packaging Engineer

Milpitas, CA · On-site

$150K - $194K/yr

Quantum computing is not an extension of classical computing. It represents a fundamental shift-and ... internships and research experience may be considered). * Basic understanding of optical alignment ...

Vector Atomic

Firmware Engineer

Pleasanton, CA · On-site

The company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing ... internship experience; other technical degrees considered with 2+ years of directly relevant ...

New

Vector Atomic

Firmware Engineer

Pleasanton, CA · On-site

The company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing ... internship experience; other technical degrees considered with 2+ years of directly relevant ...

New

Vector Atomic

Firmware Engineer

Pleasanton, CA

The company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing ... internship experience; other technical degrees considered with 2+ years of directly relevant ...

New

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Internship Entry Level Quantum Computing information

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How much do internship entry level quantum computing jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for internship entry level quantum computing in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Internship Entry Level Quantum Computing vs Data Science Intern?

AspectInternship Entry Level Quantum ComputingData Science Intern
Required CredentialsBasic knowledge of quantum mechanics, programming skills in Python, and some coursework in physics or computer scienceProficiency in statistics, programming (Python, R), and data analysis coursework
Work EnvironmentResearch labs, tech companies, or academic institutions focusing on quantum technologiesBusiness, tech companies, or research organizations analyzing large datasets
Employer & Industry UsageQuantum computing startups, research labs, and universitiesTech firms, finance, healthcare, and marketing sectors

Internship Entry Level Quantum Computing roles focus on foundational quantum principles and programming, often within research or specialized tech environments. Data Science Internships emphasize data analysis, statistical modeling, and machine learning in business or tech settings. While both are entry-level, they target different skill sets and industries, making them distinct career paths.

More about Internship Entry Level Quantum Computing jobs
What states have the most Internship Entry Level Quantum Computing jobs? States with the most job openings for Internship Entry Level Quantum Computing jobs include:
What job categories do people searching Internship Entry Level Quantum Computing jobs look for? The top searched job categories for Internship Entry Level Quantum Computing jobs are:
Internship Entry Level Quantum Computing jobs near you
Infographic showing various Internship Entry Level Quantum Computing job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA

Full-time

Posted 15 days ago

Job description

Position Overview
We are seeking an undergraduate student to support our Finance and IT teams with a focus on data analysis and quantitative problem-solving. This internship provides hands-on experience working with financial datasets, basic modeling, and tools used in data-driven decision-making.
We welcome candidates from analytical and cross-disciplinary backgrounds—including mathematics, applied mathematics, statistics, economics, engineering, computer science, physics, astrophysics, quantum computing, biotech and other data-driven fields—who are interested in applying quantitative thinking to real-world business and financial problems.
Key Responsibilities
  • Work with structured datasets to support basic financial and operational analysis 
  • Assist in organizing, cleaning, and validating data for reporting and modeling 
  • Build and maintain spreadsheets and simple analytical models in Excel 
  • Support development of reports, dashboards, and visualizations 
  • Identify patterns, inconsistencies, or trends in data 
  • Assist with automation or efficiency improvements using tools like Excel, SQL, or Python (where applicable) 
  • Collaborate with team members on data, finance, and technology-related tasks 
  • Apply quantitative or analytical approaches from coursework to practical business problems 
Required Qualifications
  • Currently pursuing a Bachelor’s degree in a quantitative or analytical field (e.g., Mathematics, Applied Mathematics, Physics, Astrophysics, Statistics, Economics, Computer Science, Quantum Computing, Engineering, Finance, Biotech, or other data-driven discipline) 
  • Strong problem-solving and analytical thinking skills 
  • Familiarity with: 
    • Microsoft Excel (formulas, basic functions) 
    • Microsoft Office (Word, PowerPoint) 
  • Comfort working with numbers and structured data 
  • Strong attention to detail and willingness to learn 
Preferred Qualifications
  • Exposure to programming or data tools (Python, SQL, R, or similar) through coursework or projects 
  • Experience with Excel functions (e.g., VLOOKUP, pivot tables) 
  • Introductory knowledge of statistics, probability, or data analysis 
  • Interest in financial markets, data analytics, or fintech 
  • Coursework or projects involving: 
    • Data analysis or visualization
  • Mathematical modeling 
  • Machine learning (introductory) 
  • Computational or applied problem-solving 
What You’ll Gain
  • Hands-on experience applying quantitative skills in a real-world business environment 
  • Exposure to financial data, analytics workflows, and decision-making processes 
  • Opportunity to build foundational data and modeling skills 
  • Mentorship and professional development 
  • Insight into career paths in quantitative finance, data science, and analytics 
Internship Details
  • Summer 2026, with possible extension