Research Scientist, Qubit Calibration, Control Optimization, Stability, Quantum
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 member of the system optimization and stability team, you will work at the interface of quantum computing, software, and machine learning to develop protocols for calibrating, controlling, and stabilizing the performance of superconducting quantum processors. Additionally, you will develop software for benchmarking, analyzing, and debugging multi-qubit systems. All work will be conducted in collaboration with scientists and engineers from a variety of technical disciplines. The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, 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 degree in Physics or Engineering, or related technical fields, or equivalent practical experience.
- 2 years of experience conducting research in quantum information science or technology.
- One or more publication submissions for conferences, journals, or public repositories.
Nice To Haves
- Experience with quantum gates and readout in superconducting qubit experiments.
- Experience calibrating and debugging experimental quantum hardware.
- Experience developing Python software in a collaborative coding environment.
Responsibilities
- Support the calibration, maintenance, and debugging of flagship quantum hardware.
- Develop intuitive analysis and debugging tools to rapidly isolate and resolve failures in flagship quantum hardware.
- Develop, test, and boost the reliability of our calibration software to meet high reliability specifications.
- Maintain, improve, and scale software infrastructure to support future scalability.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
