Research Scientist, Quantum Processor Design, Quantum AI
About The Position
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. As a part of the Pathfinding Processor team, this role involves driving the design and integration of advanced processor architectures to achieve key milestones and shape the architectural runway for future systems. As a part of the Research Scientist, you will operate at the intersection of the Multiplexing and Inter-chip Module teams, designing hardware interfaces that enables scaling to larger qubit counts while minimizing physical overhead. You will focus on two high-impact directions, developing high-fidelity inter-module connectivity between processors and inks between processors and advancing cryogenic multiplexing solutions to increase qubit density per line while overcoming wiring bottlenecks.The full potential of quantum computing will be unlocked with a computer capable of error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.
Requirements
- PhD in Physics, Electrical Engineering, or a related field with a focus on superconducting quantum computing.
- Experience with transmon qubit architectures.
- One or more scientific publication submission(s) for conferences, journals, or public repositoriessuch as Physical Review, AAAS, Nature and npj, etc.
Nice To Haves
- Experience with photon-mediated entanglement or "pitch-and-catch" communication protocols.
- Experience in microwave simulation tools (e.g., HFSS, scikit-rf).
- Understanding of quantum microwave engineering, specifically parametric operations and Josephson-based mixing.
- Ability to contribute to hardware workflows in a collaborative lab environment.
Responsibilities
- Define the data structure, framework, design, and evaluation metrics for research solution development and implementation under limited guidance, identify timelines and obtain resources needed.
- Contribute to conducting experiments based on the research question while developing research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under guidance.
- Design superconducting circuits incorporating transmon qubits, tunable couplers, and parametric elements.
- Serve as the technical bridge between the Inter-chip Module team (focusing on inter-chip links) and the Multiplexing team (focusing on control-line efficiency).
- Provide design support for devices across the pathfinding life-cycle, from initial simulation to device tape-out.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
