Systems‑Level Physics & Quantum System Performance: Develop frameworks for diagnosing and optimizing multi‑component quantum systems, going beyond single‑device metrics to capture interactions, emergent error sources, and disorder effects. Design and analyze computational benchmarks with known clean‑limit solutions to extract, quantify, and mitigate effective local random fields and other correlated‑error phenomena that arise in real‑world problem instances. Translate insights from interacting‑qubit physics into practical corrective procedures and architectural recommendations for next‑generation topological quantum processors. Collaborate closely with theorists, device physicists, and materials scientists to bridge physical‑model predictions with experimentally accessible observables. Materials & Device Diagnostics: Provide guidance on the interpretation of advanced materials and device measurements, including morphology, chemistry, electronic states, and interfacial properties of multilayer quantum‑device stacks. Partner with internal and external teams to design measurement campaigns at large national and international metrology facilities, including x‑ray synchrotrons, and integrate results into device‑fabrication and hardware‑design feedback loops. Identify and champion novel characterization approaches that illuminate failure modes or performance bottlenecks in quantum‑device systems-while ensuring deep collaboration and alignment with existing internal metrology teams. Emerging Interfaces: Optics, THz, & Alternative Readout Pathways: Support exploratory, high‑impact research directions related to future‑generation readout and control schemes, such as, quantifying and reducing the fundamental time‑scales associated with topological‑device readout under realistic noise and error‑rate constraints, investigating architectures in which RF signals are distributed via optical carriers into the cryostat, including on‑chip demultiplexing strategies for scalable, high‑bandwidth readout infrastructure and collaborate with quantum‑electronics, photonics, and cryogenic‑engineering teams to evaluate practical and theoretical boundaries of these approaches. Doctorate in Physics, Engineering, or related field AND 6+ years experience in industry or in a research and development environment OR 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 Ability to work in an “AI-first” environment using modern AI tools to accelerate discovery through both hardware and software development. Ability to design and build AI agents/copilots that assist with experiment setup, log triage, measurement report generation, protocol templating, and knowledge retrieval (e.g. instrument manuals, design docs). Doctorate degree in Physics, Materials Science, Electrical Engineering, Applied Physics, or a related field AND 7+ years of post‑doctoral or equivalent research experience in quantum condensed‑matter physics, strongly correlated systems, quantum devices, mesoscopic physics, or related areas. OR equivalent experience. Demonstrated expertise in the physics of interacting quantum systems, disorder phenomena, or complex device behavior. Experience designing, interpreting, or leading advanced experimental diagnostics (e.g., x‑ray scattering, spectroscopy, nanoscale probes, time‑resolved techniques, or equivalent). Proven ability to drive scientific programs that integrate theory, experiment, and hardware development. Internationally recognized contributions in condensed‑matter physics, quantum materials, or quantum devices. Experience with system‑level performance modeling or physics‑based error‑analysis methodologies. Familiarity with superconducting, topological, or hybrid semiconductor‑superconductor quantum platforms. Knowledge of cryogenic measurement techniques and device‑fabrication workflows. Demonstrated ability to mentor teams and foster cross‑functional collaboration. Excellent communication, scientific‑writing, and external‑engagement skills. Ability to navigate a rapidly evolving research and engineering environment with flexibility and creativity.
