Research Intern - Intelligent Quantum Systems Architecture

Microsoft Microsoft · Big Tech · Redmond, WA +1 · Applied Sciences

Research Intern role focused on exploring the intersection of quantum applications and quantum system architecture using AI-driven methods and machine learning for advanced resource estimation. The goal is to co-design more efficient quantum systems aligned with real-world application workloads, from application intent to hardware realization.

What you'd actually do

  1. Develop models that map application-level requirements—such as algorithm depth, error tolerance, and logical qubit demand—onto architectural constraints including error correction overhead, connectivity, and control infrastructure.
  2. By combining machine learning with quantum resource estimation, this work aims to co-design more efficient quantum systems that are aligned with real-world application workloads.
  3. The role emphasizes end-to-end understanding, from application intent to hardware realization, producing insights that guide the design of scalable, fault-tolerant quantum computing platforms.

Skills

Required

  • Currently enrolled in a master’s program in Computer Science or a related STEM field.
  • At least 1 year of experience in quantum computing, including familiarity with quantum algorithms, error correction, and quantum system architecture concepts.
  • At least 1 year of experience with machine learning, data analysis, or optimization methods applied to complex systems or simulations.

Nice to have

  • Demonstrated ability to connect application-level requirements with hardware-level constraints, demonstrating system-level thinking and co-design intuition through contributions to open-source software projects, academic research and development projects, or published work in the quantum computing field.
  • Proficiency in programming (e.g., Python, Rust or similar) and experience working with large-scale computational or simulation frameworks.
  • Ability to collaborate effectively with other researchers and product development teams.
  • Proficient interpersonal skills, cross-group, and cross-culture collaboration.
  • Ability to think unconventionally to derive creative and innovative solutions.

What the JD emphasized

  • machine learning
  • quantum computing
  • quantum system architecture

Other signals

  • AI-driven methods
  • machine learning
  • quantum system architecture
  • application workloads