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.
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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits
Learn more about
benefits at Google.
Responsibilities
- Conceptualize, design, and execute experiments that identify and isolate physical error mechanisms impacting quantum error correction algorithms.
- Develop data analysis tools and methods to parse and process large, high-dimensional quantum error correction datasets.
- Support and inform qubit design teams to integrate new technologies that mitigate these physical error mechanisms.
- Collaborate with modeling and theory teammates to co-design experiments backed with models that have strong predictive capabilities.
Minimum qualifications:
- PhD degree in Physics, Electrical Engineering, a related field, or equivalent practical experience.
- 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:
- Experience with control and characterization of quantum devices.
- Experience executing quantum error correction (QEC) experiments.
- Track record of publication in scientific journals or participation in conferences.