Software Engineering Intern

IBM Research

About the Role

At IBM Research, we are the innovation engine of IBM that explores what's next in computing. Working in Research means joining a brilliant team of scientists and developers working to advance high-performance computing, AI, quantum, and cloud. With a culture built on curiosity, creativity, and collaboration, IBM Research offers the opportunity to grow your career while contributing to breakthroughs that transform industries and change the world.

Your Role And Responsibilities

As an intern in the Quantum Information Software group at IBM, you will work with researchers and software engineers to turn advances in fault-tolerant quantum computing into production-quality software. Your role may include:

• Contributing to quantum compilation architectures for fault-tolerant quantum programs
• Building and extending software infrastructure for representing, analyzing, and transforming large-scale quantum programs
• Designing and implementing compiler passes for the analysis and optimization of quantum circuits
• Contributing to new execution models and software abstractions for next-generation quantum workloads
• Developing and evaluating tools and techniques for noise learning and scalable execution of error-mitigated workloads
• Implementing and benchmarking state-of-the-art compilation and optimization techniques from the research literature
• Contributing to open-source quantum software projects and tooling

Requirements & Tech Stack

• Experience developing software in Rust and Python
• Strong software engineering fundamentals, including software design, testing, debugging, and version control
• Coursework or experience in quantum information, quantum computing, quantum algorithms, or a related area

Preferred Technical And Professional Experience

Any of the following would be considered a plus:

• Familiarity with quantum compiler architectures, intermediate representations (IRs), and program optimization techniques
• Experience with scientific computing frameworks such as NumPy, JAX, PyTorch, XLA, or TensorFlow
• Strong hands-on experience with Qiskit or a comparable quantum SDK