Qubit Design Research Scientist, Quantum AI Full-time

Minimum qualifications:

• PhD in Physics or Electrical Engineering or equivalent practical experience.
• Experience with experimental operation of quantum systems.

Preferred qualifications:

• Experience with superconducting quantum bits (qubits).
• Experience with qubits, couplers and readout circuits.
• Experience with two-qubit gates, including RF based approaches.
• Experience with qubit coherence optimization.
• Experience with microwave electronics.

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.

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 Quantum AI team’s mission is to make a useful quantum computer available by leveraging superconducting circuits cooled near absolute zero as quantum bits (qubits), which are the building blocks of quantum computing hardware. The performance of our hardware is limited by the coherence times of the qubits. The solution to this problem is to develop large-scale systems capable of fault-tolerant error correction. In this role, you will be responsible for designing circuits with greater coherence, faster operations and improved scalability through reduced line count while collaborating with design, fabrication and measurement teams to develop new qubit architectures and characterize their performance.

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

• Develop RF-based operations such as parametrically-driven gates and reset to enable efficient multiplexing control schemes.
• Optimize processor design to simultaneously improve coherence, cross-talk and functionality.
• Develop qubit architectures with high-fidelity gates, readout and reset operations.