Research Scientist, Quantum Interconnects
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 Quantum Interconnects Research Scientist, you will help Quantum AI develop modular interconnects between quantum processors, where modularity and flexibility will be powerful tools as quantum processors need to be connected together in order to harness the full potential of quantum error correction. You will work with an interdisciplinary team of physicists, electrical engineers, and mechanical engineers to develop a solution for coherent interconnects.
This team will iterate on small and large-scale devices to rapidly converge on device designs that can support high-fidelity communication between quantum processors.
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.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Contribute to conducting experiments based on the research question. Develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under minimal guidance.
- Design, build, and measure quantum coherent interconnect devices.
- Develop calibration protocols to facilitate automated characterization of interconnects.
- Conceptualize and implement entanglement protocols between quantum processors linked by a coherent interconnect.
- Assist in model development to understand measured interconnect performance.
Minimum qualifications:
- PhD in Physics, Electrical Engineering, or a related field.
Experience with Python for data acquisition and analysis.
- One or more scientific publication submission(s) for conferences, journals, or public repositories (such as Physical Review, AAAS, Nature and npj, etc.).
Preferred qualifications:
- 1 year of experience owning and initiating research agendas.
- Experience with a sustained record of publications in scientific journals or participation in conferences.
- Experience with control and characterization of quantum devices.
- Experience with design, layout, and simulation of microfabricated devices.