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Quantum Computing Internship Jobs (NOW HIRING)

PsiQuantum

Optical Packaging Engineer

Milpitas, CA

$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

Optical Packaging Engineer

Milpitas, CA · On-site

$150K - $194K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

IonQ

Staff Process Engineer, Packaging

College Park, MD · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our quantum computing services are available through all major cloud providers, while we also meet ... internships personally operating complex automated equipment in a production, development, or ...

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Quantum Computing Internship information

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How much do quantum computing internship jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for quantum computing internship in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is a quantum computing internship?

A Quantum Computing Internship is a temporary position where students or early-career professionals gain hands-on experience in quantum computing. Interns typically work on research projects, algorithm development, quantum hardware testing, or quantum software engineering. They collaborate with experts in the field, learning about quantum circuits, error correction, and applications in fields like cryptography and optimization. These internships are offered by universities, research labs, and tech companies involved in quantum technologies. The goal is to develop skills and knowledge to contribute to advancements in quantum computing.

What kinds of projects or tasks do quantum computing interns typically work on?

Quantum Computing Interns often contribute to projects involving the development and simulation of quantum algorithms, data analysis, and building tools that support quantum research initiatives. Interns may assist in writing and testing code using platforms like Qiskit or Cirq, reviewing recent scientific literature, and participating in team meetings to discuss results and propose solutions. Depending on the organization, you may also have the opportunity to collaborate with experienced quantum researchers, attend seminars, and present your findings. These hands-on experiences help interns learn about the rapidly evolving quantum computing field and prepare them for advanced roles or graduate studies.

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

To thrive as a Quantum Computing Intern, you typically need a solid foundation in quantum mechanics, linear algebra, programming (often Python), and enrollment in or completion of a relevant STEM degree program. Familiarity with quantum programming platforms such as Qiskit, Cirq, or Quantum Development Kit, and hands-on experience with simulation tools or cloud-based quantum computers, is usually expected. Strong problem-solving ability, research skills, and effective teamwork and communication make a candidate stand out. These skills are crucial for engaging with complex, emerging technologies and contributing meaningfully to collaborative research and development projects.

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Quantum Computing Internship jobs near you
Infographic showing various Quantum Computing Internship job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Re-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