Coherence Research Scientist, Quantum AI
Goleta, CA, USA
Minimum qualifications:
- PhD degree in Physics, Applied Physics, Chemistry, Electrical Engineering, a related field, or equivalent practical experience.
- Experience with experimental operation of quantum systems (e.g., control, readout, or noise).
- Experience modeling physical systems based on experimental results.
- One or more scientific publication submission(s) for conferences, journals, or public repositories.
Preferred qualifications:
- 1 year of experience owning and initiating research agendas.
- Experience with superconducting, nitrogen vacancy, neutral atom, or trapped ion qubit systems.
- Experience with electromagnetic simulation.
- Experience with microwave circuits.
- Experience modeling decoherence mechanisms.
- Experience with noise spectroscopy techniques.
About the job
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.
The Quantum team leverages superconducting circuits which are cooled near absolute zero as quantum bits (qubits), which are the building blocks of quantum computing hardware. The performance of our hardware is fundamentally limited by the coherence times of the qubits.
As a Research Scientist, you'll be sharing and publishing your findings. You will be responsible for designing experiments to characterize and improve coherence. You will collaborate with the design, fabrication and measurement teams to integrate new technologies that improve key figures of merit for qubit coherence.
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 $136,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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
- Author research papers to share and generate impact of research results across the team and in the research community.
- Help in growing research business across teams by sharing research trends and best practices within the community.
- Develop measurement techniques and sensors to characterize and improve qubit coherence.
- Analyze data and develop theoretical models of decoherence mechanisms. Develop mitigation strategies to improve coherence.
- Work collaboratively with theorists and experimentalists to overcome key challenges in qubit coherence.
Tags: Architecture Chemistry Computer Science Data Mining Engineering NLP PhD Physics Prototyping Research
Perks/benefits: Career development Conferences Equity / stock options Salary bonus
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