Quantum Algorithm Development Intern
About the role
Job Description
This position is part of our Summer 2027 Internship Program.
Key Responsibilities
As an intern, you will:
- Assist in the development and evaluation of quantum computing algorithms for optimization, machine learning, and related applications.
- Build simulations and prototypes using quantum and classical computing tools.
- Analyze and compare the performance of quantum and classical approaches through numerical experiments.
- Investigate a defined technical or research question with guidance from members of the team.
- Contribute to research studies, technical documentation, presentations, and proof-of-concept projects.
- Collaborate with internal teams and, when applicable, external researchers from universities, national laboratories, and industry.
- Help identify practical problems that could potentially benefit from future advances in quantum computing.
- Learn and apply best practices in scientific computing, data analysis, and algorithm development.
- Communicate progress, raise questions when support is needed, and incorporate feedback throughout the project.
Minimum Qualifications
undergraduate student entering senior year
, current graduate student, or recent graduate pursuing a degree in:
- Computer Science
- Physics
- Mathematics
- Statistics
- Data Science
- Industrial Engineering
- Operations Research
- Electrical Engineering
- Or a related quantitative or technical field
Coursework, research, or project experience in one or more of the following areas:
- Quantum Computing
- Linear Algebra
- Algorithms
- Mathematical Optimization
- Machine Learning
- Scientific Computing
- Experience programming in
Python
or a similar technical programming language.
- Strong analytical, research, and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to explain technical concepts clearly.
- Demonstrated curiosity, initiative, and a willingness to learn by asking questions and tackling unfamiliar challenges.
- Interest in emerging technologies and their real-world applications.
Preferred Qualifications
Quantum Computing track
Classical Analytics track
Quantum Computing Background
One or more of the following:
- Introductory coursework or project experience in quantum computing.
- Familiarity with quantum circuits or quantum algorithms.
- Experience with quantum software frameworks such as Qiskit, Cirq, PennyLane, CUDA-Q, or similar tools.
- Coursework, research, or projects involving quantum information science.
Classical Analytics Background
One or more of the following:
- Machine learning or predictive modeling.
- Mathematical optimization, operations research, or decision science.
- Data analysis, statistics, or scientific computing.
- Experience with optimization libraries, machine learning frameworks, or numerical methods.
- Experience applying analytical or computational methods to technical or business problems.
What Will Help You Succeed
Successful interns in this role will demonstrate:
- Intellectual curiosity and an interest in investigating unanswered questions.
- Ability to work independently while communicating when support is needed.
- Comfort learning unfamiliar technical concepts.
- Ability to explain complex work clearly and concisely.
- Strong written and verbal communication skills.
- Openness to feedback and collaboration.
- Ability to connect technical findings to practical applications.
Compensation range for this role is between $32.69 and $36.54 an hour depending on experience and qualifications.
Skills
Not included in the source posting: about the role, benefits.
Skills
Who can apply
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