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Quantum Computing Intern Jobs (NOW HIRING)

Crown Innovations, Inc.

NAMS-2 Intern

Mountain View, CA · On-site

$730/wk

You will contribute to initiatives spanning Air Traffic Management, Advanced Technology Systems, AI, LLM, Quantum Computing, Nanoelectronics and Devices, or Advanced Software. As an intern, you will ...

Crown Innovations, Inc.

NAMS-2 Intern

Mountain View, CA · On-site

You will contribute to initiatives spanning Air Traffic Management, Advanced Technology Systems, AI, LLM, Quantum Computing, Nanoelectronics and Devices, or Advanced Software. As an intern, you will ...

Crown Innovations, Inc.

NAMS-2 Intern

Mountain View, CA · On-site

$730/wk

You will contribute to initiatives spanning Air Traffic Management, Advanced Technology Systems, AI, LLM, Quantum Computing, Nanoelectronics and Devices, or Advanced Software. As an intern, you will ...

Technergetics

R&D Engineering Intern

Rome, NY · On-site

$22 - $28/hr

Position: R&D Engineering Intern   Opportunity Overview: Technergetics is searching for a ... Quantum computing, machine learning and artificial intelligence, AI-enabled edge devices, and many ...

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Quantum Computing Intern information

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How much do quantum computing intern jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for quantum computing intern in the United States is $17.04, 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 does a Quantum Computing Intern do?

A Quantum Computing Intern assists research teams in developing and testing quantum algorithms, software, or hardware. They typically work on projects involving quantum programming languages, simulations, and data analysis. Interns may also help with literature reviews, documentation, and the implementation of experiments under the supervision of experienced quantum researchers. This role provides hands-on exposure to cutting-edge quantum technologies and helps interns build valuable skills for a future career in quantum computing.

Are there quantum computing internships?

Yes, many organizations and research institutions offer quantum computing internships for students and recent graduates. These internships typically involve working with quantum algorithms, programming languages like Qiskit or Cirq, and understanding quantum hardware, often requiring a background in physics, computer science, or related fields.

What are the key skills and qualifications needed to thrive as a Quantum Computing Intern, and why are they important?

To thrive as a Quantum Computing Intern, you need a solid background in quantum mechanics, linear algebra, and computer science, typically supported by progress toward a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), simulators, and basic coding skills in Python are commonly expected. Strong analytical thinking, problem-solving abilities, and effective communication help interns collaborate and contribute meaningfully to research teams. These skills are crucial for understanding complex quantum concepts and advancing real-world quantum computing projects.

Is Elon Musk into quantum computing?

Elon Musk has shown interest in quantum computing through his involvement with companies like Tesla and Neuralink, which explore advanced technologies. However, he is not directly involved in quantum computing research or development. The Quantum Computing Intern role typically focuses on developing skills in quantum algorithms, programming languages like Qiskit, and understanding quantum mechanics principles.

What kinds of projects or tasks do Quantum Computing Interns typically work on during their internship?

Quantum Computing Interns often engage in a variety of hands-on projects, such as developing quantum algorithms, running simulations on quantum hardware or emulators, and collaborating on research papers with senior scientists. Interns may also assist in benchmarking quantum systems or optimizing code for quantum circuits. The work is typically collaborative, involving close interaction with mentors and cross-functional teams, which provides valuable exposure to real-world applications and current challenges in the field.

What is the difference between Quantum Computing Intern vs Quantum Software Developer?

AspectQuantum Computing InternQuantum Software Developer
Required CredentialsUndergraduate or graduate student in physics, computer science, or related fieldBachelor's or master's in computer science, physics, or related field; programming skills
Work EnvironmentResearch labs, university projects, industry internshipsTech companies, research institutions, software development teams
Employer & Industry UsageResearch-focused, early career developmentProduct development, software engineering, applied research
Common Search & Comparison IntentUnderstanding entry-level roles in quantum techCareer progression, job responsibilities, skills required

The main difference between a Quantum Computing Intern and a Quantum Software Developer lies in experience level and responsibilities. Interns are typically students gaining initial exposure to quantum research, while developers are experienced professionals creating quantum algorithms and software. Internships focus on learning and supporting research, whereas developers work on deploying solutions in real-world applications.

Why do quant internships pay so much?

Quantum computing internships often pay high salaries because the field requires specialized knowledge in quantum mechanics, programming, and hardware, which are in high demand and short supply. Additionally, these internships typically involve working with cutting-edge technology and complex problem-solving, justifying higher compensation to attract top talent.

How much do quantum computing interns get paid?

Quantum computing interns typically earn between $15 and $30 per hour, depending on the company, location, and level of experience. Internships often last for a few months and may include opportunities to work with programming languages like Python and tools such as Qiskit or Cirq.
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Quantum Computing Intern jobs near you
Infographic showing various Quantum Computing Intern job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Re-posted yesterday

Job description

Ph.D. Graduate Intern – Quantitative Portfolio Risk Analytics (Cross-Disciplinary)

Position Overview
We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.
We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to apply—especially those interested in translating rigorous quantitative methods into real-world financial applications.
Key Responsibilities
  • Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches 
  • Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk 
  • Design and implement analytical tools and pipelines using Python and SQL 
  • Contribute to model validation, backtesting, and performance evaluation 
  • Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure 
  • Communicate complex quantitative insights through clear visualizations and technical summaries 
  • Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analytics 
Required Qualifications
  • Currently enrolled in a graduate Ph.D. program in a highly quantitative field (e.g., Math, Applied Mathematics, Physics, Astrophysics, Statistics, Computer Science, Engineering, Financial Engineering, Economics, Biotech or other data-driven disciplines) 
  • Strong foundation in probability, statistics, and numerical methods 
  • Proficiency in Python (NumPy, pandas, or similar) and/or SQL 
  • Experience working with large datasets and implementing quantitative models 
  • Ability to think rigorously about complex systems and translate theory into practical solutions 
Preferred Qualifications
  • Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk) 
  • Experience with scientific computing, optimization, or machine learning 
  • Background or research in cross-disciplinary areas such as: 
    • Statistical physics, complex systems, or network theory 
    • Applied or computational mathematics 
    • Machine learning or probabilistic modeling 
    • Quantum computing or advanced optimization techniques 
    • Topological data analysis or geometric data methods 
  • Prior research, publications, or project work demonstrating advanced quantitative modeling 
What You’ll Gain
  • Exposure to real-world portfolio risk problems at the intersection of finance and advanced analytics 
  • Opportunity to apply cutting-edge academic methods in a production environment 
  • Collaboration with a highly quantitative, cross-disciplinary team 
  • Experience working with large-scale financial data and modern analytics infrastructure 
  • Mentorship and potential pathway to full-time quantitative roles 
Duration & Compensation
  • Internship: Summer 2026, with potential to extend 
  • Paid internship (competitive, based on experience and location)