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Microsoft

Principal Quantum Systems Architect United States Washington Redmond

Microsoft · washington

Full-timeOn-sitePosted 29 July 2026
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Job description

Define the system architecture for scalable quantum control and readout across room-temperature and cryogenic domains Drive architectural direction for heterogeneous compute platforms supporting control, measurement, and feedback workloads Establish system partitioning and co-design strategies across hardware, firmware, software, and quantum systems Define communication, synchronization, and dataflow architectures enabling deterministic, low-latency operation at scale Lead system-level trade-offs and guide platform evolution toward scalable, production-ready quantum systems Doctorate in Physics, Engineering, or related field AND 6+ years experience in industry or in a research and development environment Master's Degree in Physics, Engineering, or related field AND 10+ 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. Ability to work in an “AI-first” environment using modern AI tools to accelerate discovery through both hardware and software development. Proven experience designing complex compute or signal-processing architectures (e.g., SoCs, distributed systems, accelerators, networking fabrics) Proficient understanding of system architecture fundamentals (compute, memory, interconnects, data movement, HW/SW partitioning) Experience driving architectural trade-offs across performance, scalability, power, and reliability Demonstrated leadership in cross-functional hardware/software co-design initiatives Experience with RF signal processing, instrumentation, or measurement systems Familiarity with quantum control, readout, or error correction concepts Experience with FPGA, ASIC, or custom accelerator technologies Exposure to cryogenic or constrained computing environments Experience defining scalable architectures for emerging compute platforms Track record of architecturally guiding the delivery of large-scale systems from concept through production

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