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Principal Quantum Engineer

United States, West Lafayette Employment contract 142800.00 - 274800.00 USD / Year · Job Posted June 10, 2026
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Job Description

Microsoft Quantum has assembled a talented, diverse international team to build the world’s first scalable quantum computing system. Our full‑stack approach spans innovation from the physics of the quantum plane to the delivery of global quantum services. The Microsoft Quantum program aims to fundamentally transform computing to help solve some of humanity’s most intractable problems as we enter an accelerated era of quantum advancement. We are seeking talented, focused individuals to help deliver useful quantum computers. Microsoft is pursuing topological qubits for large‑scale quantum computing and partnering with a growing ecosystem of companies to advance quantum systems across every layer of the stack and bring them to market through the Microsoft Quantum accelerator platform. We believe AI can speed up the development of useful quantum computers and shorten the path to their realization. As a Principal Quantum Engineer, you will guide process integration decisions and fabrication flows via theoretical insights and atomistic simulations. You’ll work closely with other experts in atomistic simulations and with fabrication, growth, characterization, and device engineering teams in a fast-paced, interdisciplinary environment. This role offers a unique opportunity to shape revolutionary technology and accelerate progress toward scalable quantum computing based on topological qubits. As a Principal Quantum Engineer, you will operate at a technical leadership level, guiding development of simulation pipelines and driving decisions. This role expands beyond individual contribution to include technical direction-setting and cross-organization influence.

Job Responsibility

  • Own the simulation roadmap (DFT/MD) for crystalline and amorphous materials, defects, and interfaces
  • Build models and propose experiments for validation, benchmarking and optimization
  • Partner with growth/fab/characterization/device teams to close gaps between theory and data
  • Architect scalable workflows, libraries, and data standards for reliable, high-throughput studies on HPC
  • Communicate clear recommendations, trade-offs, and risks to engineering and leadership

Requirements

  • Doctorate in Physics, Engineering, or related field AND 3+ years experience in industry or in a research and development environment
  • OR Master's Degree in Physics, Engineering, or related field AND 6+ years experience in industry or in a research and development environment
  • OR Bachelor's Degree in Physics, Engineering, or related field AND 8+ years experience in industry or in a research and development environment
  • OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Microsoft Cloud Background Check
  • Citizenship & Citizenship Verification
  • Ability to work in an 'AI-first' environment using modern AI tools
  • Ability to design and build AI agents/copilots that assist with experiment setup, log triage, measurement report generation, protocol templating, and knowledge retrieval

Nice to have

  • Doctorate in Physics, Engineering, or related field AND 5+ years experience in industry or in a research and development environment
  • OR Master's Degree in Physics, Engineering, or related field AND 8+ years experience in industry or in a research and development environment
  • OR Bachelor's Degree in Physics, Engineering, or related field AND 12+ years experience in industry or in a research and development environment
  • OR equivalent experience
  • Demonstrated technical leadership on complex, multi-disciplinary hardware programs
  • Research experience in atomistic and materials modeling in a commercial or academic setting
  • Experience with first-principles simulations (e.g., DFT) and molecular dynamics for materials and interfaces
  • Familiarity with modeling dielectric materials, defects, diffusion, and interfaces
  • Simulation experience of superconducting and semiconducting materials and their interfaces
  • Experience modeling finite-temperature dynamics and transport in materials using MD and related methods
  • Proficiency with high performance computing environments
  • Experience with collaborative code development in Python

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