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SalaryThe Google Quantum AI team's mission is to make a useful quantum computer available to the world to enable humankind to solve problems that would otherwise be impossible. 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. Controlling these qubits in a scalable manner and with high precision is one of the greatest issues in achieving our mission.
Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications. The Quantum Error Correction Experiment team (QECX) brings Error Correction from theory to reality. We research the experimental details of implementing Error Correction, using expertise in device physics, calibration, data analysis, and software engineering. We build software tools to run and analyze Quantum Error Correction Experiments. We collaborate across the broader Quantum AI team to conduct system integration tests and enable research into performance improvements, towards scaling up to a large-scale error-corrected quantum computer.
As a Research Scientist, you will contribute to our research efforts and collaborations with other teams in Error Correction theory, software engineering, calibration, gates, and device architecture, applying expertise in experimental quantum research to the exciting and impactful domain of Error Correction Experiments.
Minimum qualifications:
- PhD in Physics, Electrical Engineering, Quantum Information, or equivalent practical experience
- Experience calibrating, operating, or benchmarking quantum systems
- Research experience, including research projects, publishing papers, or presenting at conferences
Preferred qualifications:
- Experience with Quantum Error Correction
- Experience working on Python development in a collaborative, professional environment
- Experience with cryogenic hardware, microwave engineering, electronics, or superconducting qubits
- A passion for teamwork and developing excellent tools that can be transferred to a production environment
