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Quantum Computing Summer Internship Jobs (NOW HIRING)

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Staff Research Scientist

Foster City, CA · On-site

$169K/yr

... field of quantum computing. * Publish research findings in top-tier conferences and journals. * Mentor interns and contribute to a collaborative research environment. This is a hybrid position.

Lockheed Martin

Quantum Research Engineer

Littleton, CO · On-site

$89K - $157K/yr

Our mission is to harness quantum-enabled sensors, computing, and communications that provide ... internships, or conference presentations. • Desire for candidate to reside in Colorado; depending ...

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Quantum Computing Summer Internship information

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

As of Aug 8, 2026, the average hourly pay for quantum computing summer internship in the United States is $16.65, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.51 per hour, depending on experience, location, and employer.

What is a quantum computing summer internship?

A Quantum Computing Summer Internship is a temporary position designed for students or early-career researchers to gain hands-on experience in quantum computing. Interns typically work with quantum algorithms, hardware, or software development, often within research labs, universities, or tech companies. They may assist in running experiments, optimizing quantum circuits, or exploring quantum applications in fields like cryptography and machine learning. The internship provides practical exposure to quantum technology and helps build foundational skills for a future career in the field.

What types of projects or tasks can I expect to work on during a quantum computing summer internship?

As a Quantum Computing Summer Intern, you may work on a variety of projects such as developing and testing quantum algorithms, simulating quantum systems, or supporting research into new quantum computing applications. Interns often contribute to coding, analyzing experimental data, and collaborating with senior researchers or software engineers. Daily activities might include regular meetings to discuss progress, hands-on experimentation using quantum programming tools, and reviewing scientific literature. This dynamic environment offers the opportunity to tackle real-world challenges while building technical and professional skills relevant to a rapidly growing industry.

What are the key skills and qualifications needed to thrive in a quantum computing summer internship, and why are they important?

To thrive as a Quantum Computing Summer Intern, you need a strong foundation in quantum mechanics, linear algebra, and programming languages such as Python or Qiskit, often supported by ongoing studies in physics, computer science, or engineering. Familiarity with quantum programming frameworks and version control systems, as well as relevant coursework or certifications, is highly beneficial. Strong problem-solving skills, curiosity, and effective communication help interns collaborate in research-driven teams and adapt to new concepts quickly. These skills enable interns to contribute meaningfully to cutting-edge projects and maximize their learning experience in a rapidly evolving field.

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Quantum Computing Summer Internship jobs near you
Infographic showing various Quantum Computing Summer Internship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 30% Full Time, 59% Part Time, 1% Temporary, 8% Contract, and 1% Summer. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $34,624 per year, or $16.6 per hour.

Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA

Full-time

Re-posted 5 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