Opens an external site
- Employment type
- Internship / apprenticeship
- Experience level
- Entry, Junior · 0+ years
- Minimum education
- Bachelor’s degree
- Posting language
- English
- Working hours
- 40 hours per week
Job summary
Residents will participate in a 16-week program to conduct innovative research and contribute to technically challenging projects in quantum computing. They will work alongside scientists and engineers on tasks such as developing software for PennyLane, researching quantum algorithms, and building educational content.
Job details
The Xanadu Residency Program [http://residency.xanadu.ai/] is a 16-week program designed to provide graduate and undergraduate students in engineering, science, and computer science the opportunity to learn, build technical skills, conduct innovative research and contribute towards technically challenging projects. Residents will have the opportunity to be mentored and supervised by our scientists, physicists and engineers within Xanadu. This 16-week residency program will launch with a 1-week quantum computing bootcamp. Its design will: * Connect you to the other residents through your shared study and experiences, as well as with Xanadu leaders through their shared excitement of delivering real scientific impact; * Introduce Xanadu itself—its culture and what makes it a special place to work; and * Provide a fundamental and common understanding of quantum computing (both research and applications) and Xanadu’s offerings. You will then be introduced to your supervisor and move on to your project (or projects) in the research, education and/or software realms, depending on your interests and background. You, alongside your team, will work on challenging projects such as: * Characterizing the differences between quantum and classical machine learning models; * Discovering more efficient quantum algorithms for quantum chemistry; * Developing new software functionality for PennyLane; * Compiling Gaussian subcircuits; * Designing more performant architectures for fault-tolerant quantum computing; * Visualizing quantum operations and states; and * Designing and building interactive educational content. Candidates currently enrolled in graduate programs (Masters or PhDs) are encouraged to apply. Top candidates for all internship areas will have: * Strong interest in quantum computing and quantum software; * The ability to learn quickly and work on a team; * Experience in an academic program related to quantum computing, physics, computer science, engineering, or other applicable area of study; and * Extensive experience with scientific programming in Python (or equivalent experience in another programming language). Further, depending on the specific project, candidates will have one or more of: * Coursework, research or projects in quantum information, computation, algorithms, software, or other applicable area of study (for research projects); * Experience with software frameworks like NumPy, TensorFlow, PyTorch, Qiskit, Cirq, PyQuil, etc.; and * Experience teaching or TA-ing (either in person or online) and experience writing code-first tutorials and educational content (for education projects). Visit our Xanadu Residency Program [http://residency.xanadu.ai/] website for more details. Please apply by submitting your Resume and statement of interest (including which area/topics/supervisor you'd like to work with) by November 15, 2026 at 11.59pm Eastern Time (EST).
What you’ll do
Residents will participate in a 16-week program to conduct innovative research and contribute to technically challenging projects in quantum computing. They will work alongside scientists and engineers on tasks such as developing software for PennyLane, researching quantum algorithms, and building educational content.
Requirements
Candidates should be currently enrolled in graduate or undergraduate programs in engineering, science, or computer science. Applicants must possess strong scientific programming skills in Python and a demonstrated interest in quantum computing.
Listed skills
- Python · Preferred
- Machine learning · Preferred
- Data visualization · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Quantum computing
- Python
- Machine learning
- Quantum algorithms
- Quantum chemistry
- Software development
- NumPy
- TensorFlow
- PyTorch
- Qiskit
- Cirq
- PyQuil
- Scientific programming
- Data visualization
- Educational content creation
- PennyLane
- Software Frameworks
- Quantum Algorithms
- Quick Learning
- Research
- Algorithms
- Teaching
- Computer Science
- Fault Tolerance
- Innovation
- Python (Programming Language)
- Machine Learning
- NumPy (Python Package)
- Operations
- Physics
- Quantum Chemistry
- Quantum Computing
- Quantum Information
- Writing
- PyTorch (Machine Learning Library)
Job areas
- Software
- Science & Research
- Technology
- Engineering
- Education
- Unclassified
- Deep Learning Engineer
- Software Developers
- Computer and Information Research Scientists
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