Principal Quantum Systems Architect

## About the role - 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 ## Requirements - Doctorate in Computer Science, Software Engineering, Mathematics, Physics, Physical Sciences, or related field AND 3+ years software industry experience, including research and/or development of commercial software, compilers, scientific computing applications, or multi-component systems - OR Master's Degree in Computer Science, Software Engineering, Mathematics, Physics, Physical Sciences, or related field AND 4+ years software industry experience, including research and/or development of commercial software, compilers, scientific computing applications, or multi-component systems - OR Bachelor's Degree in Computer Science, Software Engineering, Mathematics, Physics, Physical Sciences, or related field AND 6+ years software industry experience, including research and/or development of commercial software, compilers, scientific computing applications, or multi-component systems - OR equivalent experience. - 6+ years programming experience in related programming languages. - 6+ years experience in a collaborative environment. - 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