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Intern Quantum Design Jobs (NOW HIRING)

RF Engineer Intern

Hoboken, NJ · Hybrid

$20 - $35/hr

Work with hardware engineers, mechanical engineers, and quantum scientists during various phases of lab testing. * Evaluate, design, or simulate custom RF antenna apertures, microwave and photonic ...

This is hands-on R&D (Research and Development) -- protocol design, mesh networking experimentation ... Quantum computing, machine learning and artificial intelligence, AI-enabled edge devices, and many ...

R&D Engineering Intern

Rome, NY · On-site

$22 - $28/hr

This is hands-on R&D (Research and Development) -- protocol design, mesh networking experimentation ... Quantum computing, machine learning and artificial intelligence, AI-enabled edge devices, and many ...

Showing results 21-40

Intern Quantum Design information

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$9

$19

$36

How much do intern quantum design jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for intern quantum design in the United States is $19.38, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $21.63 per hour, depending on experience, location, and employer.

What is the difference between Intern Quantum Design vs Intern Optical Engineer?

AspectIntern Quantum DesignIntern Optical Engineer
Required CredentialsUndergraduate in Physics, Electrical Engineering, or related fieldUndergraduate in Optical Engineering, Physics, or related field
Work EnvironmentResearch labs, R&D departments, technology companiesResearch labs, manufacturing facilities, tech companies
Industry UsageQuantum computing, photonics, advanced researchOptical systems, laser technology, imaging
Common Search/ComparisonYesYes

Intern Quantum Design and Intern Optical Engineer roles often share similar educational backgrounds and work environments. However, Intern Quantum Design focuses more on quantum computing and photonics research, while Intern Optical Engineer emphasizes optical system design and laser technology. Both roles are common in research and tech industries, but their specific focus areas differ.

More about Intern Quantum Design jobs
What cities are hiring for Intern Quantum Design jobs? Cities with the most Intern Quantum Design job openings:
What are the most commonly searched types of Quantum Design jobs? The most popular types of Quantum Design jobs are:
What states have the most Intern Quantum Design jobs? States with the most job openings for Intern Quantum Design jobs include:
Infographic showing various Intern Quantum Design job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 6% Part Time, and 5% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $40,304 per year, or $19.4 per hour.

Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Re-posted 6 days ago


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)