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Microsoft Quantum has assembled a talented and diverse international team to create the world’s first scalable quantum computing system. Our full-stack approach involves exciting innovations from physics on the quantum plane to providing global quantum services. With new developments happening at every part of the stack, it is more important than ever to characterize and validate how the individual components come together to form an integrated system. Our Systems Integration team is looking for a skilled Electrical Engineer with a passion for collaboration to help build and characterize the world’s first topological quantum computer. This role combines circuit design and simulation with hands-on system integration in a research hardware environment. The Quantum Electrical Engineer will contribute to the design, simulation, and validation of RF and electronic components, and apply these designs in both room-temperature and cryogenic systems. The role also involves developing measurement and analysis workflows, supporting hardware bring-up, and troubleshooting system performance. The candidate can have a background in electrical engineering, mechanical engineering, or applied physics, is comfortable working across simulation and lab environments, and can write clear, maintainable code for instrumentation and data analysis. Collaboration and problem-solving skills are essential. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Job Responsibility
Define and lead cryogenic electrical characterization of quantum materials and devices, including experiments at millikelvin temperatures and high magnetic fields
Develop and deploy novel measurement techniques and protocols to address evolving challenges in topological qubit systems
Drive large-scale experimental campaigns, including data acquisition, statistical analysis, and reporting of results
Extract and translate experimental data into actionable insights for materials selection, fabrication processes, and device design
Provide technical leadership and direction for pathfinding devices and next-generation quantum architectures
Partner across materials science, nanofabrication, theory, and device design teams to accelerate progress
Communicate complex experimental results effectively to cross-functional and leadership audiences
Embody our culture and values
Requirements
Bachelor's Degree in Physics, Engineering, or related field and significant experience in industry or in a research and development environment OR Master's Degree in Physics, Engineering, or related field OR equivalent experience
Experience with basic principles of electrical engineering design
Experience with RF/Microwave, EM and circuit simulation (Ansys or Cadence tools)
Ability to meet Microsoft, customer and/or government security screening requirements
Ability to leverage AI tools to drive innovation and efficiency
Ability to work in an AI-first environment using modern AI tools to accelerate discovery through hardware development
Nice to have
Experience with low-noise electronic measurements (lockin amplifiers, analog pre-amps, etc.), cryogenic techniques (He3 cryostats or dilution refrigerators), electrical transport characterization (for semiconductors, dielectrics, and superconductors), and RF/microwave measurement techniques
Experience with analog and digital circuit design
Experience with digital signal processing
Experience in developing code in a version-controlled environment (e.g. Git)
Experience in engineering project management and best practices
Familiarity with verification, validation, or qualification workflows
Familiarity with cabling, connectors, attenuators, filters, and cryogenic RF components
Experience with experimenting with low-dimensional semiconductors, superconductivity, or quantum information processing devices
Ability to leverage AI tools to drive innovation and efficiency
Ability to be flexible and adapt to new situations in a rapidly changing research environment
Demonstrated experience with report writing and documentation
Understanding of tolerances and build-to-build variability
Experience in prototyping and building RF devices
Experience with printed circuit board design and assembly