Software Engineering Intern - Quantum Information Science 2027

**Introduction** 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 **Preferred Education** Master's Degree **Required Technical And Professional Expertise** * 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